ML Project 3
Karol Orozco & Charles Hanks
2023-04-11
# https://www.openml.org/d/1590
raw_income = read_csv("https://raw.githubusercontent.com/chanks06/ml-model3/main/datasets/openml_1590.csv", na=c("?"))## Rows: 48842 Columns: 15
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (9): workclass, education, marital-status, occupation, relationship, rac...
## dbl (6): age, fnlwgt, education-num, capital-gain, capital-loss, hours-per-week
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.income = read_csv("https://raw.githubusercontent.com/chanks06/ml-model3/main/datasets/openml_1590.csv", na=c("?")) %>%
drop_na() %>%
mutate(income_above_50k = class==">50K") %>%
select(-class) %>%
dummy_cols(remove_selected_columns = T)## Rows: 48842 Columns: 15
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (9): workclass, education, marital-status, occupation, relationship, rac...
## dbl (6): age, fnlwgt, education-num, capital-gain, capital-loss, hours-per-week
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.#formatting col names:
raw_income = raw_income %>% rename_all(funs(str_replace_all(.,"-","_"))) %>%
rename_all(funs(tolower(.)))## Warning: `funs()` was deprecated in dplyr 0.8.0.
## ℹ Please use a list of either functions or lambdas:
##
## # Simple named list: list(mean = mean, median = median)
##
## # Auto named with `tibble::lst()`: tibble::lst(mean, median)
##
## # Using lambdas list(~ mean(., trim = .2), ~ median(., na.rm = TRUE))
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.## Warning: `funs()` was deprecated in dplyr 0.8.0.
## ℹ Please use a list of either functions or lambdas:
##
## # Simple named list: list(mean = mean, median = median)
##
## # Auto named with `tibble::lst()`: tibble::lst(mean, median)
##
## # Using lambdas list(~ mean(., trim = .2), ~ median(., na.rm = TRUE))
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.income = income %>% rename_all(funs(str_replace_all(.,"-","_"))) %>%
rename_all(funs(tolower(.)))## Warning: `funs()` was deprecated in dplyr 0.8.0.
## ℹ Please use a list of either functions or lambdas:
##
## # Simple named list: list(mean = mean, median = median)
##
## # Auto named with `tibble::lst()`: tibble::lst(mean, median)
##
## # Using lambdas list(~ mean(., trim = .2), ~ median(., na.rm = TRUE))
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.## Warning: `funs()` was deprecated in dplyr 0.8.0.
## ℹ Please use a list of either functions or lambdas:
##
## # Simple named list: list(mean = mean, median = median)
##
## # Auto named with `tibble::lst()`: tibble::lst(mean, median)
##
## # Using lambdas list(~ mean(., trim = .2), ~ median(., na.rm = TRUE))
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.options(scipen=999)INTRODUCTION - MODEL PROJECT 3
- Run PCA on the dataset. How many principal components do you need to explain half the variation?
- Can you give some interpretation of the principal components?
- Look at the scree plot. How many PCs would you choose based on that?
- Are the first few Principal Components good predictors of income_above_50k?
- How well can you predict income_above_50k using the first 5 or 6 principal components? How about only the first 2?
- Can you gain any insights into the data based on k-means clustering?
- Can you visualize and interpret some or all of your clusters?
- Using any and all techniques we have learned, build the best predictive model for income_above_50k that you can. What are your best features? What model did you use? What interpretations can you draw?
- What metric can you use to assess model performance? Why is that a good choice of metric in this case?
- What are some key insights you found through your analysis?
Prediction task is to determine whether a person makes over 50k a year.
- Data from 1994 Census database.
- fnlwgt: demographic background of the people - people with similar demographic characteristics should have similar weights.
Exploratory Data Analysis
Examining distibution of sex:
n_sex = raw_income %>%
group_by(sex) %>%
count()raw_income %>% group_by(sex, class) %>% count() %>% mutate(prop = n/nrow(raw_income))## # A tibble: 4 × 4
## # Groups: sex, class [4]
## sex class n prop
## <chr> <chr> <int> <dbl>
## 1 Female <=50K 14423 0.295
## 2 Female >50K 1769 0.0362
## 3 Male <=50K 22732 0.465
## 4 Male >50K 9918 0.203#Only 3.6 % of this dataset includes women who make more than 50k. Occupation by sex:
raw_income %>%
group_by(occupation,sex) %>%
count() %>%
ggplot(aes(x = occupation, y = n, fill = sex)) + geom_col() + coord_flip()
#craft-repair, farming/fishing, executive mostly male, admin mostly female
#there are some ethical considerations to unpack here in building this model...raw_income %>% group_by(education, workclass) %>% count() %>% ggplot(aes(x = n, y = education, fill = workclass)) + geom_col()
# Age
ggplot(income, aes(x = income_above_50k, y = age, fill = income_above_50k)) + geom_boxplot()
income %>% group_by(income_above_50k) %>% summarize(med_age = median(age), avg_age = mean(age))## # A tibble: 2 × 3
## income_above_50k med_age avg_age
## <lgl> <dbl> <dbl>
## 1 FALSE 34 36.7
## 2 TRUE 43 44.0ggplot(income, aes(x = age)) + geom_histogram(binwidth = 10)
#income$age_bin = factor(income$age_bin, levels = c("teen", "20-29","30-39","40-50","50-65","65+"))
#distribution of people by age bin
#ggplot(income, aes(x = age_bin, fill = age_bin)) + geom_histogram(stat= 'count')
#the largest age group in this dataset is 30-39
#ggplot(income, aes(x = age_bin)) + geom_histogram(stat = 'count',aes(fill = income_above_50k)) + facet_wrap(~income_above_50k)
#People in their forties are most likely to be making above 50k. raw_income %>% group_by(occupation, class, sex) %>% count() %>% filter(class == '>50K' ) %>% arrange(desc(n))## # A tibble: 28 × 4
## # Groups: occupation, class, sex [28]
## occupation class sex n
## <chr> <chr> <chr> <int>
## 1 Exec-managerial >50K Male 2487
## 2 Prof-specialty >50K Male 2202
## 3 Craft-repair >50K Male 1350
## 4 Sales >50K Male 1341
## 5 Prof-specialty >50K Female 582
## 6 Transport-moving >50K Male 468
## 7 Adm-clerical >50K Male 459
## 8 Exec-managerial >50K Female 421
## 9 Tech-support >50K Male 353
## 10 Machine-op-inspct >50K Male 344
## # ℹ 18 more rowsGiven that this dataset is imbalanced in terms of sex, it is likely that a predictive model will select male, between 30-50 years old, in executive-managerial, prof-speciality, craft-repair, or sales.
Changing response variable to a factor:
income = income %>% mutate(income_above_50k = factor(income_above_50k)) %>% relocate(income_above_50k)Log Transforming capital gain and capital loss:
“You have a capital gain if you sell the asset for more than your adjusted basis. You have a capital loss if you sell the asset for less than your adjusted basis.” https://www.irs.gov/taxtopics/tc409#:~:text=You%20have%20a%20capital%20gain,%2C%20aren't%20tax%20deductible.
#ggplot(income, aes(x = capital_loss)) + geom_histogram()
#definition: capital gain refers to the increase in the value of a capital asset when it is sold. A capital gain occurs when you sell an asset for more than what you originally paid for it.
income = income %>% mutate(l_capital_gain = log(capital_gain),
l_capital_loss = log(capital_loss)) %>%
select(-capital_gain,-capital_loss) %>% relocate(income_above_50k, l_capital_gain, l_capital_loss)
ggplot(income, aes(x = l_capital_loss)) + geom_histogram()## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.## Warning: Removed 43082 rows containing non-finite values (`stat_bin()`).
#changing -Inf back to 0 for log transformed vars:
income = income %>% mutate(l_capital_gain = ifelse(l_capital_gain == -Inf, 0, l_capital_gain),
l_capital_loss = ifelse(l_capital_loss == -Inf, 0, l_capital_loss))
#Now checking out shape of log transformed data:
ggplot(income, aes(x = l_capital_gain)) + geom_histogram() + xlim(5,12)## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.## Warning: Removed 41440 rows containing non-finite values (`stat_bin()`).## Warning: Removed 2 rows containing missing values (`geom_bar()`).
ggplot(income, aes(x = l_capital_loss)) + geom_histogram() + xlim(5,12)## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.## Warning: Removed 43082 rows containing non-finite values (`stat_bin()`).
## Removed 2 rows containing missing values (`geom_bar()`).
income %>% group_by(income_above_50k) %>% summarize(avg_cap_gain = mean(l_capital_gain), avg_cap_loss = mean(l_capital_loss))## # A tibble: 2 × 3
## income_above_50k avg_cap_gain avg_cap_loss
## <fct> <dbl> <dbl>
## 1 FALSE 0.333 0.228
## 2 TRUE 1.98 0.743#people making above over 50k will have greater log capital gain/loss on average PART I Principal Component Analysis on Income Dataset
We will apply Principal Component Analysis to our dataset in order to reduce the number of features needed to explain the variation in the data. We reduce the number of dimensions in our feature space through a linear combination of features that share co-variance. This process is based on a calculation of distances within the feature space. Is is therefore essential that we scale and center our numerical data.
Instead of having to manually assess correlation among variables, we call the prcomp() function on our dataset to group our variables together.
The result is that this new combination feature - the ‘principal component’ - captures the variation in the data according to the variables that it represents. Each principal component does not correlate with another - they are as distinct from one another as possible. If we were to graph these linear combination of features, they would form a right angle extend out from the center of the data’s spread.
In practice, this allows us to use only a handful of principal components to explain how the data behaves.
pr_income = prcomp(x = select(income,-income_above_50k), scale = T, center = T)
summary(pr_income)## Importance of components:
## PC1 PC2 PC3 PC4 PC5 PC6 PC7
## Standard deviation 2.13805 1.76182 1.6158 1.53246 1.39287 1.33471 1.30557
## Proportion of Variance 0.04395 0.02985 0.0251 0.02258 0.01865 0.01713 0.01639
## Cumulative Proportion 0.04395 0.07380 0.0989 0.12149 0.14014 0.15727 0.17366
## PC8 PC9 PC10 PC11 PC12 PC13 PC14
## Standard deviation 1.25616 1.19824 1.1762 1.1494 1.13345 1.117 1.10106
## Proportion of Variance 0.01517 0.01381 0.0133 0.0127 0.01235 0.012 0.01166
## Cumulative Proportion 0.18883 0.20264 0.2159 0.2286 0.24100 0.253 0.26465
## PC15 PC16 PC17 PC18 PC19 PC20 PC21
## Standard deviation 1.09652 1.09033 1.0842 1.08208 1.06551 1.06356 1.05277
## Proportion of Variance 0.01156 0.01143 0.0113 0.01126 0.01092 0.01088 0.01066
## Cumulative Proportion 0.27621 0.28764 0.2989 0.31020 0.32112 0.33200 0.34265
## PC22 PC23 PC24 PC25 PC26 PC27 PC28
## Standard deviation 1.05137 1.04406 1.04257 1.04098 1.03841 1.03694 1.03226
## Proportion of Variance 0.01063 0.01048 0.01045 0.01042 0.01037 0.01034 0.01025
## Cumulative Proportion 0.35328 0.36376 0.37422 0.38463 0.39500 0.40534 0.41559
## PC29 PC30 PC31 PC32 PC33 PC34 PC35
## Standard deviation 1.03101 1.02961 1.0250 1.02352 1.02314 1.02122 1.01912
## Proportion of Variance 0.01022 0.01019 0.0101 0.01007 0.01007 0.01003 0.00999
## Cumulative Proportion 0.42581 0.43600 0.4461 0.45618 0.46624 0.47627 0.48626
## PC36 PC37 PC38 PC39 PC40 PC41 PC42
## Standard deviation 1.01495 1.01376 1.01236 1.01039 1.0097 1.00492 1.00395
## Proportion of Variance 0.00991 0.00988 0.00985 0.00982 0.0098 0.00971 0.00969
## Cumulative Proportion 0.49616 0.50604 0.51590 0.52572 0.5355 0.54523 0.55492
## PC43 PC44 PC45 PC46 PC47 PC48 PC49
## Standard deviation 1.00257 1.00213 1.00184 1.00143 1.00142 1.00099 1.00090
## Proportion of Variance 0.00966 0.00966 0.00965 0.00964 0.00964 0.00963 0.00963
## Cumulative Proportion 0.56458 0.57424 0.58389 0.59353 0.60318 0.61281 0.62244
## PC50 PC51 PC52 PC53 PC54 PC55 PC56
## Standard deviation 1.00049 1.00035 1.00015 1.00000 0.99954 0.9994 0.99877
## Proportion of Variance 0.00962 0.00962 0.00962 0.00962 0.00961 0.0096 0.00959
## Cumulative Proportion 0.63207 0.64169 0.65131 0.66093 0.67053 0.6801 0.68973
## PC57 PC58 PC59 PC60 PC61 PC62 PC63
## Standard deviation 0.99834 0.99739 0.99678 0.99479 0.99474 0.99436 0.99339
## Proportion of Variance 0.00958 0.00957 0.00955 0.00952 0.00951 0.00951 0.00949
## Cumulative Proportion 0.69931 0.70888 0.71843 0.72794 0.73746 0.74697 0.75646
## PC64 PC65 PC66 PC67 PC68 PC69 PC70
## Standard deviation 0.99163 0.98918 0.9887 0.98599 0.98565 0.98490 0.98190
## Proportion of Variance 0.00946 0.00941 0.0094 0.00935 0.00934 0.00933 0.00927
## Cumulative Proportion 0.76591 0.77532 0.7847 0.79407 0.80341 0.81273 0.82201
## PC71 PC72 PC73 PC74 PC75 PC76 PC77
## Standard deviation 0.98122 0.97881 0.97693 0.96958 0.96596 0.95790 0.95563
## Proportion of Variance 0.00926 0.00921 0.00918 0.00904 0.00897 0.00882 0.00878
## Cumulative Proportion 0.83126 0.84047 0.84965 0.85869 0.86766 0.87649 0.88527
## PC78 PC79 PC80 PC81 PC82 PC83 PC84
## Standard deviation 0.95348 0.94928 0.93713 0.92981 0.92669 0.91355 0.9006
## Proportion of Variance 0.00874 0.00866 0.00844 0.00831 0.00826 0.00802 0.0078
## Cumulative Proportion 0.89401 0.90267 0.91112 0.91943 0.92769 0.93571 0.9435
## PC85 PC86 PC87 PC88 PC89 PC90 PC91
## Standard deviation 0.89148 0.86012 0.85386 0.81333 0.78869 0.77364 0.73843
## Proportion of Variance 0.00764 0.00711 0.00701 0.00636 0.00598 0.00575 0.00524
## Cumulative Proportion 0.95115 0.95827 0.96528 0.97164 0.97762 0.98337 0.98862
## PC92 PC93 PC94 PC95 PC96
## Standard deviation 0.69662 0.65566 0.49844 0.14221 0.0000000000001363
## Proportion of Variance 0.00467 0.00413 0.00239 0.00019 0.0000000000000000
## Cumulative Proportion 0.99328 0.99742 0.99981 1.00000 1.0000000000000000
## PC97 PC98
## Standard deviation 0.0000000000000326 0.00000000000002328
## Proportion of Variance 0.0000000000000000 0.00000000000000000
## Cumulative Proportion 1.0000000000000000 1.00000000000000000
## PC99 PC100
## Standard deviation 0.000000000000007325 0.000000000000006332
## Proportion of Variance 0.000000000000000000 0.000000000000000000
## Cumulative Proportion 1.000000000000000000 1.000000000000000000
## PC101 PC102
## Standard deviation 0.00000000000000627 0.000000000000005439
## Proportion of Variance 0.00000000000000000 0.000000000000000000
## Cumulative Proportion 1.00000000000000000 1.000000000000000000
## PC103 PC104
## Standard deviation 0.000000000000003673 0.000000000000003176
## Proportion of Variance 0.000000000000000000 0.000000000000000000
## Cumulative Proportion 1.000000000000000000 1.000000000000000000pr_income$rotation## PC1 PC2
## l_capital_gain 0.0923616373 -0.0833515110
## l_capital_loss 0.0530995976 -0.0493572286
## age 0.1853674765 -0.0911942803
## fnlwgt -0.0239205908 0.0658778820
## education_num 0.1055916471 -0.4563050495
## hours_per_week 0.1864459077 -0.0537816659
## workclass_federal_gov 0.0149967479 -0.0755687475
## workclass_local_gov 0.0196473848 -0.1414389509
## workclass_private -0.1328370723 0.2129175334
## workclass_self_emp_inc 0.0975852137 -0.0697493441
## workclass_self_emp_not_inc 0.1128219480 -0.0269005082
## workclass_state_gov 0.0066575696 -0.1208953689
## workclass_without_pay 0.0017429150 0.0054323075
## education_1st_4th -0.0077466330 0.1138791690
## education_5th_6th -0.0085449120 0.1524216974
## education_7th_8th 0.0120930651 0.1166632733
## education_9th -0.0100710347 0.1014521959
## education_10th -0.0245059490 0.0983568901
## education_11th -0.0515085210 0.1022695407
## education_12th -0.0279129368 0.0547626026
## education_assoc_acdm -0.0047882352 -0.0582891538
## education_assoc_voc 0.0088942449 -0.0301976281
## education_bachelors 0.0589956471 -0.2274957918
## education_doctorate 0.0507954289 -0.1081514592
## education_hs_grad -0.0185114613 0.1728435255
## education_masters 0.0599554134 -0.1922344184
## education_preschool -0.0124384115 0.0628771029
## education_prof_school 0.0681766955 -0.1144658227
## education_some_college -0.0587767414 -0.0080668994
## marital_status_divorced -0.1229730733 -0.1212454677
## marital_status_married_af_spouse -0.0043516790 -0.0083834214
## marital_status_married_civ_spouse 0.3981202888 0.0649621466
## marital_status_married_spouse_absent -0.0355527574 0.0260144023
## marital_status_never_married -0.2761117524 0.0268813273
## marital_status_separated -0.0704950778 0.0045678594
## marital_status_widowed -0.0642454344 -0.0387835609
## occupation_adm_clerical -0.1358354490 -0.0758452608
## occupation_armed_forces 0.0024957793 -0.0043807938
## occupation_craft_repair 0.0914171417 0.1594395771
## occupation_exec_managerial 0.0848952872 -0.1347854195
## occupation_farming_fishing 0.0518844605 0.0754341349
## occupation_handlers_cleaners -0.0288702538 0.1270228999
## occupation_machine_op_inspct -0.0139063738 0.1335980890
## occupation_other_service -0.1408680277 0.0849964512
## occupation_priv_house_serv -0.0476215810 0.0338846569
## occupation_prof_specialty 0.0603022796 -0.2830253069
## occupation_protective_serv 0.0305975866 -0.0203444843
## occupation_sales -0.0074659076 -0.0051825731
## occupation_tech_support -0.0124732920 -0.0364552810
## occupation_transport_moving 0.0516851745 0.0996966439
## relationship_husband 0.4156261849 0.1004001720
## relationship_not_in_family -0.1707135408 -0.1280863026
## relationship_other_relative -0.0642586429 0.0855417727
## relationship_own_child -0.1861950216 0.0880259224
## relationship_unmarried -0.1543841504 -0.0610359720
## relationship_wife -0.0265891363 -0.0963561853
## race_amer_indian_eskimo -0.0188167076 0.0074857919
## race_asian_pac_islander -0.0113370723 0.0069586964
## race_black -0.1160219471 0.0292507462
## race_other -0.0218731549 0.0647881482
## race_white 0.1137401498 -0.0464712430
## sex_female -0.3322547356 -0.1951307915
## sex_male 0.3322547356 0.1951307915
## native_country_cambodia 0.0004783866 0.0167504721
## native_country_canada 0.0056032390 0.0010622037
## native_country_china 0.0054404006 0.0027751960
## native_country_columbia -0.0059618317 0.0233512085
## native_country_cuba 0.0026257865 0.0181456350
## native_country_dominican_republic -0.0156614861 0.0460344739
## native_country_ecuador -0.0032705280 0.0217814825
## native_country_el_salvador -0.0167053030 0.0666134212
## native_country_england 0.0019141785 -0.0058432987
## native_country_france 0.0023600144 -0.0093651059
## native_country_germany 0.0002439760 -0.0041492254
## native_country_greece 0.0119203794 0.0097316083
## native_country_guatemala -0.0135834834 0.0549139699
## native_country_haiti -0.0152902195 0.0304057513
## native_country_holand_netherlands -0.0030283742 0.0021339889
## native_country_honduras -0.0085537986 0.0103195675
## native_country_hong -0.0006233228 0.0062208372
## native_country_hungary 0.0023019774 -0.0027161385
## native_country_india 0.0113017134 -0.0088884361
## native_country_iran 0.0080651747 -0.0049324866
## native_country_ireland -0.0008301876 0.0105095247
## native_country_italy 0.0104546112 0.0274750743
## native_country_jamaica -0.0230944775 0.0188583009
## native_country_japan 0.0005519016 -0.0001060402
## native_country_laos -0.0028236900 0.0167889821
## native_country_mexico -0.0122120177 0.1975026802
## native_country_nicaragua -0.0100998805 0.0217153223
## native_country_outlying_us(guam_usvi_etc) -0.0073895996 0.0049598612
## native_country_peru -0.0061814773 0.0150650521
## native_country_philippines -0.0121562320 0.0153244442
## native_country_poland 0.0026029353 0.0167773128
## native_country_portugal 0.0036737412 0.0388595727
## native_country_puerto_rico -0.0139562390 0.0414105167
## native_country_scotland -0.0010188285 0.0033853745
## native_country_south -0.0015780969 0.0042826443
## native_country_taiwan 0.0064338063 -0.0158697767
## native_country_thailand -0.0033003576 0.0026302725
## native_country_trinadad&tobago -0.0066641722 0.0116690975
## native_country_united_states 0.0220716776 -0.1808391289
## native_country_vietnam -0.0102348524 0.0242555472
## native_country_yugoslavia 0.0042718308 0.0117966113
## PC3 PC4
## l_capital_gain 0.0303884027 -0.00338654002
## l_capital_loss 0.0128347124 0.01074755366
## age 0.1454686607 -0.35173567600
## fnlwgt 0.0273898842 0.04004561414
## education_num 0.0212320287 0.22944443258
## hours_per_week 0.0254043615 -0.03026946082
## workclass_federal_gov 0.0471035038 -0.03680629387
## workclass_local_gov 0.0570286187 -0.05683336726
## workclass_private -0.0914073708 0.10104172309
## workclass_self_emp_inc 0.0217946703 -0.00443798397
## workclass_self_emp_not_inc 0.0161289731 -0.08956924490
## workclass_state_gov 0.0450188872 0.01053916713
## workclass_without_pay -0.0004239066 -0.01074392524
## education_1st_4th 0.0913004231 -0.03667907916
## education_5th_6th 0.1184839358 -0.03161216409
## education_7th_8th 0.0395150138 -0.10907378813
## education_9th 0.0277422792 -0.04939666753
## education_10th -0.0166061729 -0.04610474030
## education_11th -0.0426924845 0.03409164115
## education_12th -0.0129058714 0.03366339515
## education_assoc_acdm 0.0048251142 0.01110035495
## education_assoc_voc -0.0079100711 -0.01571119068
## education_bachelors 0.0380129198 0.18490307405
## education_doctorate 0.0609462304 0.05556330583
## education_hs_grad -0.0693993002 -0.19124497371
## education_masters 0.0727424436 0.05176393826
## education_preschool 0.0526734108 -0.00319834140
## education_prof_school 0.0546005863 0.06119575678
## education_some_college -0.0680513041 0.04774116488
## marital_status_divorced 0.0173092076 -0.25454540565
## marital_status_married_af_spouse 0.0008945471 -0.00859667156
## marital_status_married_civ_spouse 0.0634366832 -0.06099669459
## marital_status_married_spouse_absent 0.0936945434 -0.02020940209
## marital_status_never_married -0.1448374549 0.37411931485
## marital_status_separated 0.0557007444 -0.10941235844
## marital_status_widowed 0.0608907329 -0.21067154266
## occupation_adm_clerical 0.0131665812 -0.08938087307
## occupation_armed_forces -0.0028345751 0.00789879639
## occupation_craft_repair -0.0644293346 -0.03315161675
## occupation_exec_managerial 0.0162855264 0.00041052882
## occupation_farming_fishing -0.0034064280 -0.04219676716
## occupation_handlers_cleaners -0.0455916460 0.07997599172
## occupation_machine_op_inspct 0.0166780875 -0.04908547563
## occupation_other_service 0.0280135404 -0.02951992360
## occupation_priv_house_serv 0.0531126085 -0.06224592842
## occupation_prof_specialty 0.1000240412 0.13002775903
## occupation_protective_serv 0.0063840388 -0.00713939324
## occupation_sales -0.0631862698 0.06112309027
## occupation_tech_support -0.0062951607 0.02549120363
## occupation_transport_moving -0.0347259315 -0.04760975589
## relationship_husband 0.0219347581 -0.01510983115
## relationship_not_in_family -0.0406562550 0.02067733923
## relationship_other_relative 0.0785991827 0.03433541133
## relationship_own_child -0.1611805709 0.29004193058
## relationship_unmarried 0.1082431434 -0.27723365743
## relationship_wife 0.0825182975 -0.11773939329
## race_amer_indian_eskimo 0.0390876832 -0.02002601491
## race_asian_pac_islander 0.3999410197 0.21954243485
## race_black 0.1618317095 -0.06633705527
## race_other 0.1134527791 0.01735253845
## race_white -0.3686530031 -0.04899095202
## sex_female 0.0816658253 -0.20176589268
## sex_male -0.0816658253 0.20176589268
## native_country_cambodia 0.0627316512 0.03135263879
## native_country_canada 0.0480031818 0.01194470064
## native_country_china 0.1533105044 0.07314486837
## native_country_columbia 0.0386201602 0.00009257474
## native_country_cuba 0.0505994883 -0.00577869059
## native_country_dominican_republic 0.0625112995 -0.00519905632
## native_country_ecuador 0.0372706200 0.00348239945
## native_country_el_salvador 0.0543236078 0.00798325652
## native_country_england 0.0461094051 0.01581031636
## native_country_france 0.0287200677 0.01163734473
## native_country_germany 0.0552012763 0.01654212652
## native_country_greece 0.0258284110 0.00034302351
## native_country_guatemala 0.0424181465 0.00586869779
## native_country_haiti 0.0710846830 -0.00296517698
## native_country_holand_netherlands 0.0034742272 0.00321547179
## native_country_honduras 0.0252088267 -0.00584973594
## native_country_hong 0.0648003310 0.03445974567
## native_country_hungary 0.0172234288 -0.00008297612
## native_country_india 0.1562751156 0.10249992187
## native_country_iran 0.0457407614 0.02685129895
## native_country_ireland 0.0168925967 0.01340361607
## native_country_italy 0.0414802415 -0.00680182460
## native_country_jamaica 0.0801472199 0.00376771866
## native_country_japan 0.0919967710 0.04640298643
## native_country_laos 0.0635022235 0.02666032276
## native_country_mexico 0.1447061477 0.00600994824
## native_country_nicaragua 0.0323788025 0.00434095482
## native_country_outlying_us(guam_usvi_etc) 0.0271332877 0.00913562656
## native_country_peru 0.0241833481 0.01019123754
## native_country_philippines 0.2241991282 0.11257497855
## native_country_poland 0.0318952533 0.00775491151
## native_country_portugal 0.0294698934 -0.01432586767
## native_country_puerto_rico 0.0682942707 -0.01118464139
## native_country_scotland 0.0179760469 -0.00092201175
## native_country_south 0.1345997136 0.06171109629
## native_country_taiwan 0.1017854847 0.07421034552
## native_country_thailand 0.0674200428 0.02536191516
## native_country_trinadad&tobago 0.0471646393 -0.00155180269
## native_country_united_states -0.4469847449 -0.12849032172
## native_country_vietnam 0.1156761988 0.06343853531
## native_country_yugoslavia 0.0155524260 0.00048913592
## PC5 PC6
## l_capital_gain 0.0270877253 -0.0459481952
## l_capital_loss 0.0136751337 -0.0246687020
## age 0.0439684568 0.0084423622
## fnlwgt -0.0002335946 0.0512054820
## education_num -0.0013802695 -0.0953721967
## hours_per_week 0.0311602104 0.0304886754
## workclass_federal_gov -0.0973400297 0.1092937931
## workclass_local_gov -0.0765566299 0.2804011379
## workclass_private 0.0719939579 -0.4941111083
## workclass_self_emp_inc 0.0256675705 0.0609881028
## workclass_self_emp_not_inc 0.0351270633 0.2839228221
## workclass_state_gov -0.0485086024 0.1838417367
## workclass_without_pay -0.0083056781 0.0177038122
## education_1st_4th 0.1607635878 0.0677208259
## education_5th_6th 0.2014791639 0.0784300680
## education_7th_8th 0.0577964797 0.0815121963
## education_9th 0.0360602365 0.0468042741
## education_10th -0.0133373363 0.0459961603
## education_11th -0.0290910862 0.0337045136
## education_12th -0.0088479942 0.0300024296
## education_assoc_acdm -0.0049001406 -0.0265109492
## education_assoc_voc 0.0022311520 -0.0339392553
## education_bachelors 0.0951309833 -0.0855972628
## education_doctorate 0.0442869518 0.0351005809
## education_hs_grad -0.1467543255 -0.0439102912
## education_masters 0.0628575579 0.0538565132
## education_preschool 0.0640947458 0.0565892310
## education_prof_school 0.0458132231 0.0576503200
## education_some_college -0.0695828665 -0.0191218108
## marital_status_divorced 0.0759317502 0.0307120342
## marital_status_married_af_spouse -0.0018205933 -0.0397934983
## marital_status_married_civ_spouse -0.0825857270 -0.2106067715
## marital_status_married_spouse_absent 0.0735967011 0.0500554397
## marital_status_never_married 0.0085493448 0.1728884781
## marital_status_separated -0.0387638329 0.0283144606
## marital_status_widowed 0.0580518310 0.0255118024
## occupation_adm_clerical -0.0631755256 -0.1026074103
## occupation_armed_forces -0.0178787459 0.0393275147
## occupation_craft_repair -0.0395527622 0.0177672372
## occupation_exec_managerial 0.0546418806 -0.0889236476
## occupation_farming_fishing 0.0648587343 0.2274674843
## occupation_handlers_cleaners -0.0179288263 0.0412654801
## occupation_machine_op_inspct -0.0036074622 -0.0859877953
## occupation_other_service -0.0245248503 0.0525819001
## occupation_priv_house_serv 0.0889290992 -0.0068491416
## occupation_prof_specialty 0.1066519568 0.1054047524
## occupation_protective_serv -0.1054776305 0.1964313579
## occupation_sales 0.0265885963 -0.1360247375
## occupation_tech_support -0.0080800128 -0.0639493983
## occupation_transport_moving -0.0809982036 0.0206323869
## relationship_husband -0.0912566577 -0.0976252950
## relationship_not_in_family 0.1864306173 0.1916648993
## relationship_other_relative 0.0393665055 0.0352086641
## relationship_own_child -0.0937545890 0.0542099271
## relationship_unmarried -0.0432328224 -0.0133601126
## relationship_wife 0.0144709269 -0.2710763390
## race_amer_indian_eskimo -0.1239506167 0.0536462483
## race_asian_pac_islander -0.1132663517 -0.1258730645
## race_black -0.4510220886 0.1085686058
## race_other 0.0346932030 0.0431643719
## race_white 0.4594497636 -0.0564895787
## sex_female 0.0651499868 -0.1633343998
## sex_male -0.0651499868 0.1633343998
## native_country_cambodia -0.0131082584 -0.0180734125
## native_country_canada 0.0848262745 -0.0028072352
## native_country_china -0.0238035409 -0.0449573431
## native_country_columbia 0.0577562154 0.0014308318
## native_country_cuba 0.0780296162 0.0096589807
## native_country_dominican_republic 0.0488163203 0.0136104897
## native_country_ecuador 0.0352187154 -0.0008637795
## native_country_el_salvador 0.1159595944 0.0288585358
## native_country_england 0.0709429446 -0.0064786669
## native_country_france 0.0439839411 0.0044232342
## native_country_germany 0.0767117953 -0.0108920389
## native_country_greece 0.0412125149 -0.0021063967
## native_country_guatemala 0.0925049762 0.0346417150
## native_country_haiti -0.0574353826 0.0337109203
## native_country_holand_netherlands 0.0082286273 -0.0056054325
## native_country_honduras 0.0288745643 0.0125200337
## native_country_hong -0.0071096437 -0.0262488700
## native_country_hungary 0.0358393224 0.0053932207
## native_country_india -0.0186841338 -0.0220420119
## native_country_iran 0.0353542618 -0.0006638019
## native_country_ireland 0.0417452658 -0.0006805747
## native_country_italy 0.0745044581 0.0000268455
## native_country_jamaica -0.0695813162 0.0214893855
## native_country_japan 0.0027440819 -0.0349299572
## native_country_laos -0.0108729012 -0.0312608269
## native_country_mexico 0.2976134341 0.1119849717
## native_country_nicaragua 0.0368249557 -0.0011308990
## native_country_outlying_us(guam_usvi_etc) 0.0031703201 0.0009436581
## native_country_peru 0.0362901492 -0.0084267392
## native_country_philippines -0.0462116257 -0.0895641803
## native_country_poland 0.0581681317 -0.0074964594
## native_country_portugal 0.0518526138 0.0012242666
## native_country_puerto_rico 0.0634874281 0.0140777447
## native_country_scotland 0.0260347036 -0.0058088405
## native_country_south -0.0331430264 -0.0364040210
## native_country_taiwan -0.0142685490 -0.0293477475
## native_country_thailand -0.0070737413 -0.0151060595
## native_country_trinadad&tobago -0.0348633200 0.0040525569
## native_country_united_states -0.2889664061 -0.0105724562
## native_country_vietnam -0.0301736308 -0.0399685583
## native_country_yugoslavia 0.0299445734 -0.0044159271
## PC7 PC8
## l_capital_gain 0.01461576798 -0.0596276001
## l_capital_loss 0.01159533666 -0.0230599625
## age 0.09063046272 0.0457591337
## fnlwgt 0.00725840314 -0.2591168360
## education_num 0.08049265039 -0.0967632241
## hours_per_week 0.24026235569 -0.0285513179
## workclass_federal_gov -0.03699178923 0.0232278754
## workclass_local_gov -0.17446287771 -0.0819685541
## workclass_private 0.23029445431 -0.1932054102
## workclass_self_emp_inc -0.01705876730 0.0799746731
## workclass_self_emp_not_inc -0.08885885282 0.3048228536
## workclass_state_gov -0.11012984293 0.0061076115
## workclass_without_pay -0.03527879481 0.0486145209
## education_1st_4th -0.04671867326 -0.0848184595
## education_5th_6th -0.06576765520 -0.1173800729
## education_7th_8th -0.04037089962 0.0394357279
## education_9th -0.02963677595 -0.0484102574
## education_10th -0.03043755596 0.0035236171
## education_11th -0.07981743910 -0.0006599284
## education_12th -0.04283566922 -0.0272762573
## education_assoc_acdm 0.00941198301 -0.0296666539
## education_assoc_voc 0.02295715694 0.0008818499
## education_bachelors 0.05578828553 -0.1184874979
## education_doctorate 0.01158939944 -0.0533291822
## education_hs_grad 0.15485488306 0.1675834550
## education_masters -0.00145792616 -0.1154877952
## education_preschool -0.01790911816 -0.0166975962
## education_prof_school -0.00162439713 -0.0326748921
## education_some_college -0.13658886192 0.0695541418
## marital_status_divorced 0.31228916177 0.0647845227
## marital_status_married_af_spouse -0.05160274152 0.0137118808
## marital_status_married_civ_spouse -0.24477467850 -0.0577399546
## marital_status_married_spouse_absent 0.05572929161 -0.0137891538
## marital_status_never_married -0.01622949617 0.0237783813
## marital_status_separated 0.07155244923 -0.1020075958
## marital_status_widowed 0.02645412601 0.0853596663
## occupation_adm_clerical -0.12082940455 0.0785517298
## occupation_armed_forces -0.00601647759 0.0059494545
## occupation_craft_repair 0.12074063737 0.0966388084
## occupation_exec_managerial 0.08043936880 -0.0350553576
## occupation_farming_fishing -0.06257909941 0.1900354030
## occupation_handlers_cleaners 0.02239867185 -0.0675976031
## occupation_machine_op_inspct 0.08208702969 -0.0945094319
## occupation_other_service -0.11873014510 0.0314640415
## occupation_priv_house_serv -0.02417832694 -0.0646277023
## occupation_prof_specialty -0.05130742970 -0.1835771308
## occupation_protective_serv -0.08290101323 -0.0451626670
## occupation_sales 0.00693570603 0.0911096854
## occupation_tech_support 0.02955748814 -0.0238808590
## occupation_transport_moving 0.08154860284 -0.0216314878
## relationship_husband -0.07774971729 -0.0563783121
## relationship_not_in_family 0.41074135376 0.0394497698
## relationship_other_relative -0.02597704473 -0.0407488914
## relationship_own_child -0.23182231458 0.0916124525
## relationship_unmarried 0.08515900122 -0.0447112511
## relationship_wife -0.38767585572 -0.0058490612
## race_amer_indian_eskimo 0.01014830107 0.0007363064
## race_asian_pac_islander 0.08873152873 0.3738545214
## race_black 0.05958124527 -0.3364640731
## race_other -0.00940249225 -0.1554375925
## race_white -0.09331075989 0.1413897939
## sex_female -0.19593153011 0.0308299870
## sex_male 0.19593153011 -0.0308299870
## native_country_cambodia 0.02862333850 0.0620651947
## native_country_canada -0.01056602235 0.0021070350
## native_country_china 0.03149395177 0.1130380826
## native_country_columbia 0.00426908731 -0.0237969017
## native_country_cuba -0.02184810364 -0.0228758939
## native_country_dominican_republic -0.00698394816 -0.0774938140
## native_country_ecuador 0.00005973213 -0.0425588927
## native_country_el_salvador -0.05114608185 -0.0616465816
## native_country_england 0.01252012960 -0.0210683328
## native_country_france 0.00920510812 -0.0191742258
## native_country_germany -0.01308465632 -0.0141271993
## native_country_greece -0.00382230097 0.0238893115
## native_country_guatemala -0.01297724285 -0.0511546290
## native_country_haiti -0.00057080746 -0.1056775053
## native_country_holand_netherlands -0.00421321368 -0.0012485693
## native_country_honduras -0.00824521911 -0.0237855012
## native_country_hong 0.00746336788 0.0434890829
## native_country_hungary 0.00740563340 0.0094070172
## native_country_india 0.04630233234 0.0870723448
## native_country_iran 0.00842946873 -0.0079638089
## native_country_ireland 0.02864981695 0.0097294532
## native_country_italy -0.03068962831 -0.0025121310
## native_country_jamaica 0.01569085445 -0.1282373005
## native_country_japan 0.03009013055 0.0614915148
## native_country_laos 0.01221681765 0.0564845369
## native_country_mexico -0.08497774584 -0.1736658560
## native_country_nicaragua -0.02594249752 -0.0327346859
## native_country_outlying_us(guam_usvi_etc) 0.01859955394 -0.0107981901
## native_country_peru -0.01021468631 -0.0254853142
## native_country_philippines 0.02863145586 0.2164995911
## native_country_poland 0.00377668082 -0.0010409702
## native_country_portugal -0.01470834475 0.0117986071
## native_country_puerto_rico -0.01806724943 -0.0482173685
## native_country_scotland -0.00272313531 -0.0052933195
## native_country_south 0.03323227538 0.1782322248
## native_country_taiwan 0.01894670400 0.0623219621
## native_country_thailand 0.01811242729 0.0662066479
## native_country_trinadad&tobago -0.00614448292 -0.0421298093
## native_country_united_states 0.02444018429 0.0102805152
## native_country_vietnam 0.02728743218 0.1372596161
## native_country_yugoslavia -0.00695249686 0.0039279676
## PC9 PC10
## l_capital_gain 0.0136005700 -0.1066072615
## l_capital_loss -0.0010809409 -0.0204524735
## age 0.0139447437 -0.0813227971
## fnlwgt -0.0835705920 0.0232959547
## education_num 0.0033893028 0.0129933308
## hours_per_week -0.1032077179 -0.0147128672
## workclass_federal_gov -0.1759735795 0.1765688145
## workclass_local_gov 0.1192078660 0.2520224583
## workclass_private 0.0813831726 -0.0220681576
## workclass_self_emp_inc -0.1709165489 -0.2117941569
## workclass_self_emp_not_inc -0.0431185598 -0.2840673509
## workclass_state_gov 0.0405966604 0.1685280173
## workclass_without_pay 0.0137808585 -0.0172000674
## education_1st_4th -0.0450327729 -0.0032315512
## education_5th_6th -0.0576065595 0.0221273807
## education_7th_8th 0.0212185988 -0.1153337657
## education_9th 0.0167936000 -0.0573589887
## education_10th 0.0570478216 -0.1261832107
## education_11th 0.0852873726 -0.1447432586
## education_12th 0.0288839752 -0.0514320142
## education_assoc_acdm -0.0825671229 0.0717138431
## education_assoc_voc -0.0378495305 0.0817169099
## education_bachelors -0.1249504926 -0.1599294553
## education_doctorate 0.1673357205 -0.0106418333
## education_hs_grad 0.3360776547 0.1271027576
## education_masters 0.1734470784 0.0301785018
## education_preschool -0.0173587579 -0.0284146943
## education_prof_school 0.1868485551 -0.1366122877
## education_some_college -0.4704427872 0.1386721932
## marital_status_divorced -0.0706004633 0.1390703058
## marital_status_married_af_spouse 0.0185566889 0.0037468877
## marital_status_married_civ_spouse 0.0158821925 0.0186965875
## marital_status_married_spouse_absent -0.0245529161 0.0001027297
## marital_status_never_married 0.0195766527 -0.0479935325
## marital_status_separated -0.0099937801 -0.0688764508
## marital_status_widowed 0.0682566517 -0.1398660299
## occupation_adm_clerical -0.1531878709 0.3077386929
## occupation_armed_forces -0.0400909739 0.0506094914
## occupation_craft_repair 0.0542698618 0.1613677781
## occupation_exec_managerial -0.2880584158 -0.1285127414
## occupation_farming_fishing -0.0722428066 -0.2098211895
## occupation_handlers_cleaners 0.0787559175 0.0343699023
## occupation_machine_op_inspct 0.1204724553 0.0201194354
## occupation_other_service 0.1263820909 -0.1542253353
## occupation_priv_house_serv 0.0254336590 -0.0750126062
## occupation_prof_specialty 0.3647681268 -0.0359208221
## occupation_protective_serv -0.0386556452 0.3197911547
## occupation_sales -0.1872094703 -0.2960438440
## occupation_tech_support -0.1212050748 0.1050330957
## occupation_transport_moving 0.0891971612 0.0385904326
## relationship_husband -0.0266196278 0.0245563772
## relationship_not_in_family -0.0074182343 0.0329935016
## relationship_other_relative 0.0129076268 -0.0153582301
## relationship_own_child 0.0266061696 -0.0458641920
## relationship_unmarried -0.0520500424 -0.0147223638
## relationship_wife 0.0988794336 -0.0151342776
## race_amer_indian_eskimo -0.0015140429 -0.0062614233
## race_asian_pac_islander 0.0536793240 0.0484367738
## race_black -0.0765128698 -0.1824548721
## race_other -0.0620865945 0.0033160746
## race_white 0.0545323810 0.1307540567
## sex_female 0.0248381246 -0.0481583519
## sex_male -0.0248381246 0.0481583519
## native_country_cambodia 0.0001592465 0.0150304476
## native_country_canada 0.0056453053 0.0333861407
## native_country_china 0.0912573049 0.0117991080
## native_country_columbia 0.0096272183 0.0345717890
## native_country_cuba -0.0319852340 0.0219612110
## native_country_dominican_republic -0.0224098466 -0.0125815999
## native_country_ecuador -0.0168415894 0.0276642969
## native_country_el_salvador 0.0029495723 0.0025281964
## native_country_england -0.0048881814 0.0229204571
## native_country_france -0.0066141992 0.0226446736
## native_country_germany -0.0467637978 0.0830370761
## native_country_greece -0.0324339673 -0.0181338385
## native_country_guatemala -0.0095490082 0.0011296932
## native_country_haiti -0.0258705754 -0.0708620437
## native_country_holand_netherlands -0.0043365775 0.0047148463
## native_country_honduras -0.0202222142 0.0070178633
## native_country_hong 0.0245153388 0.0284453014
## native_country_hungary 0.0039445735 -0.0046992158
## native_country_india 0.0553239565 0.0139510280
## native_country_iran -0.0179316479 0.0023085521
## native_country_ireland 0.0181046614 0.0222249674
## native_country_italy 0.0123025805 0.0258236353
## native_country_jamaica -0.0567428994 -0.0554427850
## native_country_japan -0.0208814286 0.0209921678
## native_country_laos -0.0003935457 0.0343462270
## native_country_mexico -0.0912427957 0.0380639193
## native_country_nicaragua -0.0061790601 0.0352336635
## native_country_outlying_us(guam_usvi_etc) -0.0315693764 0.0052026612
## native_country_peru -0.0010293708 0.0212950715
## native_country_philippines 0.0054004740 0.0646245373
## native_country_poland 0.0116864859 0.0528122275
## native_country_portugal 0.0190007677 0.0221297101
## native_country_puerto_rico -0.0201786209 0.0457286656
## native_country_scotland -0.0039247594 0.0238662562
## native_country_south -0.0153848003 -0.0570081057
## native_country_taiwan 0.0521109788 -0.0014190730
## native_country_thailand 0.0058412929 -0.0030075737
## native_country_trinadad&tobago -0.0211087382 -0.0047454577
## native_country_united_states 0.0593193749 -0.1074915309
## native_country_vietnam -0.0039904450 0.0461488208
## native_country_yugoslavia -0.0131376325 0.0012369923
## PC11 PC12
## l_capital_gain -0.003803743 0.044601648
## l_capital_loss 0.007256498 -0.038726489
## age -0.098426962 -0.109836570
## fnlwgt 0.069269616 0.029091333
## education_num 0.052603998 0.113783573
## hours_per_week 0.146606539 0.074163518
## workclass_federal_gov 0.153314116 0.055484081
## workclass_local_gov -0.031490381 -0.284277886
## workclass_private -0.121327497 -0.007318857
## workclass_self_emp_inc 0.094811338 -0.024752388
## workclass_self_emp_not_inc 0.103633771 0.241004856
## workclass_state_gov -0.062259142 0.015357022
## workclass_without_pay 0.043398688 0.005402889
## education_1st_4th 0.003553674 -0.055191654
## education_5th_6th 0.015079605 -0.048248500
## education_7th_8th -0.131420142 -0.116317641
## education_9th -0.086748944 -0.073581160
## education_10th -0.169837983 -0.109519372
## education_11th -0.173523782 -0.051167167
## education_12th -0.036455061 0.001330485
## education_assoc_acdm 0.025317248 0.063013121
## education_assoc_voc -0.103578305 0.116254091
## education_bachelors 0.199717646 -0.222153380
## education_doctorate -0.102230546 0.185173142
## education_hs_grad 0.481093148 0.069367495
## education_masters -0.091709716 -0.126272323
## education_preschool 0.018402550 -0.058504523
## education_prof_school -0.084038359 0.302576363
## education_some_college -0.365315068 0.114203507
## marital_status_divorced -0.155567586 0.073613377
## marital_status_married_af_spouse 0.069359061 0.023022169
## marital_status_married_civ_spouse 0.029925039 -0.016572089
## marital_status_married_spouse_absent 0.018799734 0.050322485
## marital_status_never_married 0.133380467 -0.026042321
## marital_status_separated -0.060429190 0.115397399
## marital_status_widowed -0.101618042 -0.188610084
## occupation_adm_clerical 0.163714195 0.152230662
## occupation_armed_forces 0.066390167 0.023145122
## occupation_craft_repair -0.047484056 0.206789580
## occupation_exec_managerial 0.155466564 -0.303869095
## occupation_farming_fishing 0.112509932 0.121904590
## occupation_handlers_cleaners -0.013423186 -0.057338464
## occupation_machine_op_inspct 0.021857385 -0.024379819
## occupation_other_service -0.122946107 -0.113369319
## occupation_priv_house_serv -0.002018448 -0.077431183
## occupation_prof_specialty -0.151652879 0.152532380
## occupation_protective_serv -0.031266445 -0.243612474
## occupation_sales -0.011586427 0.038640143
## occupation_tech_support -0.087260900 0.043681330
## occupation_transport_moving -0.004531448 -0.078870177
## relationship_husband -0.062529135 -0.003463735
## relationship_not_in_family 0.091665775 -0.165806658
## relationship_other_relative 0.096492191 -0.002741736
## relationship_own_child -0.025427218 0.065074147
## relationship_unmarried -0.201196168 0.186117510
## relationship_wife 0.214856167 -0.026137138
## race_amer_indian_eskimo -0.012963039 -0.011524733
## race_asian_pac_islander -0.093997883 -0.108451356
## race_black 0.081511689 0.029298551
## race_other 0.058912423 0.170243395
## race_white -0.034395471 -0.012243938
## sex_female 0.058477319 0.004546915
## sex_male -0.058477319 -0.004546915
## native_country_cambodia -0.011876859 -0.012601773
## native_country_canada 0.021735500 0.080356303
## native_country_china -0.075588608 -0.072596041
## native_country_columbia 0.030633660 0.097528146
## native_country_cuba 0.013198251 0.021509744
## native_country_dominican_republic 0.024288353 0.054340358
## native_country_ecuador 0.027782263 0.088744033
## native_country_el_salvador -0.001045319 -0.030833709
## native_country_england 0.061306255 0.018779629
## native_country_france 0.009148465 0.018568066
## native_country_germany 0.024509432 0.096276713
## native_country_greece 0.032052438 -0.006305998
## native_country_guatemala 0.004829326 -0.025858289
## native_country_haiti 0.041621427 0.022534162
## native_country_holand_netherlands 0.002226663 0.002917960
## native_country_honduras -0.004501778 0.040103699
## native_country_hong 0.007807123 -0.035689796
## native_country_hungary 0.032700777 0.016572549
## native_country_india -0.087377647 0.063224510
## native_country_iran 0.015483207 0.069845548
## native_country_ireland 0.044546491 0.022575654
## native_country_italy 0.024132130 0.014684591
## native_country_jamaica 0.082456629 0.082749592
## native_country_japan 0.017335914 -0.006773578
## native_country_laos -0.002454132 -0.023196748
## native_country_mexico 0.050095078 -0.004905925
## native_country_nicaragua 0.016480866 0.050717776
## native_country_outlying_us(guam_usvi_etc) 0.002152959 -0.001868068
## native_country_peru 0.009629351 0.048290871
## native_country_philippines -0.043386649 -0.099739471
## native_country_poland 0.010800750 0.027918383
## native_country_portugal -0.002563889 -0.011836466
## native_country_puerto_rico 0.051381795 0.077458205
## native_country_scotland 0.013421611 -0.001530704
## native_country_south 0.017078978 -0.025656489
## native_country_taiwan -0.046690059 0.006466068
## native_country_thailand 0.014410618 -0.027580783
## native_country_trinadad&tobago 0.029068522 0.013025251
## native_country_united_states -0.073369920 -0.088224056
## native_country_vietnam -0.023606246 -0.032185549
## native_country_yugoslavia 0.030574705 -0.013685515
## PC13 PC14
## l_capital_gain -0.0353059468 0.030234510
## l_capital_loss 0.0015016598 -0.001416552
## age -0.0553231788 -0.095552821
## fnlwgt 0.0053705956 0.180750547
## education_num 0.0521064962 0.003754024
## hours_per_week -0.0069658593 0.092778742
## workclass_federal_gov -0.1728794401 0.012884119
## workclass_local_gov 0.1687450168 0.017852296
## workclass_private -0.0838509314 -0.022926303
## workclass_self_emp_inc 0.2619547108 0.100049980
## workclass_self_emp_not_inc -0.0835561360 -0.052784052
## workclass_state_gov -0.0051527520 -0.005290919
## workclass_without_pay -0.0250265900 0.015115007
## education_1st_4th -0.0790816008 0.044381271
## education_5th_6th -0.1121798775 0.308385449
## education_7th_8th -0.1393303272 -0.212644461
## education_9th -0.0529049214 -0.030661463
## education_10th -0.0259836194 -0.024878061
## education_11th 0.1034206587 0.003489883
## education_12th 0.0492732154 -0.056948225
## education_assoc_acdm -0.0302350454 -0.005899644
## education_assoc_voc -0.1295598223 -0.044215721
## education_bachelors 0.0026491760 0.040627848
## education_doctorate 0.0081091663 0.005210043
## education_hs_grad 0.1832155392 0.074028957
## education_masters 0.0483506215 -0.023545998
## education_preschool -0.1260320625 0.042107078
## education_prof_school -0.0852852070 0.100950075
## education_some_college -0.0719843421 -0.100660248
## marital_status_divorced 0.0970985524 0.138080843
## marital_status_married_af_spouse -0.0637137528 0.005618607
## marital_status_married_civ_spouse -0.0547172841 -0.028487635
## marital_status_married_spouse_absent -0.0002259692 -0.025049909
## marital_status_never_married -0.0498633404 -0.056649529
## marital_status_separated 0.1411344101 0.125834243
## marital_status_widowed -0.0351779704 -0.159273083
## occupation_adm_clerical -0.1527051418 0.054270989
## occupation_armed_forces -0.0798762057 0.010160803
## occupation_craft_repair -0.0101250756 -0.121544561
## occupation_exec_managerial 0.1546452250 -0.014443798
## occupation_farming_fishing -0.1976732416 0.085886682
## occupation_handlers_cleaners 0.0227224284 0.170660941
## occupation_machine_op_inspct -0.0870839690 -0.011836175
## occupation_other_service 0.1292524000 -0.105114093
## occupation_priv_house_serv -0.0381726112 -0.017331763
## occupation_prof_specialty -0.1089092477 0.046456770
## occupation_protective_serv 0.1688626177 -0.009305833
## occupation_sales 0.1875007000 0.057726230
## occupation_tech_support -0.1806222345 -0.053423229
## occupation_transport_moving 0.0022892567 -0.044452089
## relationship_husband 0.0170498843 -0.002400994
## relationship_not_in_family -0.2644575418 -0.218621513
## relationship_other_relative -0.0303928158 0.097694083
## relationship_own_child 0.1753614709 0.043657790
## relationship_unmarried 0.2853992212 0.262314908
## relationship_wife -0.1772713809 -0.075421221
## race_amer_indian_eskimo -0.0732193630 -0.024996381
## race_asian_pac_islander -0.0417059318 0.099184534
## race_black -0.0704215177 -0.021902973
## race_other 0.0466654569 -0.284480708
## race_white 0.0880210808 0.049783441
## sex_female -0.0158959987 0.002002683
## sex_male 0.0158959987 -0.002002683
## native_country_cambodia -0.0405328041 -0.003584891
## native_country_canada 0.1267276233 -0.132315386
## native_country_china -0.0195794286 0.007120930
## native_country_columbia 0.0689973757 -0.102472475
## native_country_cuba 0.1257332162 -0.040609410
## native_country_dominican_republic 0.0483295475 -0.211546744
## native_country_ecuador 0.0550779525 -0.165108698
## native_country_el_salvador 0.0326172805 0.053370994
## native_country_england 0.0882035656 -0.105280844
## native_country_france 0.0535648138 -0.059324906
## native_country_germany 0.1313743095 -0.091460868
## native_country_greece 0.1077803008 -0.072900479
## native_country_guatemala -0.0162168191 -0.034691194
## native_country_haiti -0.0123293227 -0.056050972
## native_country_holand_netherlands -0.0063420490 -0.008150071
## native_country_honduras 0.0696145705 0.064059372
## native_country_hong -0.0327566057 0.011218108
## native_country_hungary 0.0065872194 -0.075310946
## native_country_india 0.0018759664 -0.016926972
## native_country_iran 0.0834027335 -0.103413371
## native_country_ireland 0.0355024948 -0.076575139
## native_country_italy 0.0443924180 -0.035644863
## native_country_jamaica 0.0383055302 -0.114067100
## native_country_japan 0.0424009311 -0.014633612
## native_country_laos -0.0653397138 0.045946805
## native_country_mexico -0.1300843981 0.301119193
## native_country_nicaragua 0.0544641920 -0.008987660
## native_country_outlying_us(guam_usvi_etc) 0.0152142951 -0.046280633
## native_country_peru 0.1086792395 -0.056459407
## native_country_philippines -0.0718934877 0.088136935
## native_country_poland 0.0603220020 -0.118967380
## native_country_portugal 0.0374902905 -0.092640898
## native_country_puerto_rico 0.1143892697 -0.226942633
## native_country_scotland 0.0623530091 -0.018012029
## native_country_south 0.0860837589 0.045528165
## native_country_taiwan 0.0373183982 0.045526067
## native_country_thailand 0.0397430949 0.012798605
## native_country_trinadad&tobago -0.0065603326 -0.067185882
## native_country_united_states -0.1694152110 0.111903875
## native_country_vietnam -0.0203739656 0.061808618
## native_country_yugoslavia 0.0485265926 -0.044751208
## PC15 PC16
## l_capital_gain -0.12775545088 0.0180569825
## l_capital_loss -0.02993919183 -0.0252952290
## age -0.11760563444 0.0755300500
## fnlwgt -0.01034857888 0.1342143592
## education_num 0.04790537633 0.0430167037
## hours_per_week 0.05192119054 -0.1518287747
## workclass_federal_gov -0.26034832108 0.1088005612
## workclass_local_gov 0.22184831530 -0.0880695277
## workclass_private 0.03253957197 0.0009078053
## workclass_self_emp_inc -0.26051651347 -0.0413292693
## workclass_self_emp_not_inc 0.18891333071 0.0348815779
## workclass_state_gov -0.14146905776 0.0070501328
## workclass_without_pay -0.00436119024 -0.0182334691
## education_1st_4th -0.03052807236 -0.0530381253
## education_5th_6th -0.00976418953 -0.0062550042
## education_7th_8th -0.01289154633 -0.0589663766
## education_9th 0.01368105772 -0.0040036574
## education_10th 0.00770758804 0.0152470391
## education_11th 0.04476154203 0.0110628372
## education_12th -0.00975891269 -0.0426143548
## education_assoc_acdm 0.14305932320 0.1077674096
## education_assoc_voc 0.34046406471 0.1370803153
## education_bachelors 0.26132815262 0.0373697404
## education_doctorate -0.19899903547 0.0669536760
## education_hs_grad -0.08702868884 0.0027669653
## education_masters -0.09914292815 -0.1005930402
## education_preschool 0.00875573069 0.0369728205
## education_prof_school -0.16205462757 -0.0197352079
## education_some_college -0.22201789737 -0.0790693066
## marital_status_divorced 0.07283311262 -0.1199662691
## marital_status_married_af_spouse 0.03354444950 -0.0209324286
## marital_status_married_civ_spouse 0.02229408054 -0.0001967326
## marital_status_married_spouse_absent 0.03091277461 -0.0390526969
## marital_status_never_married -0.05109821050 0.0224549635
## marital_status_separated 0.07332276627 0.0435144316
## marital_status_widowed -0.17795719929 0.1715111214
## occupation_adm_clerical -0.18895172136 -0.0050978191
## occupation_armed_forces -0.16674232546 0.0386364281
## occupation_craft_repair 0.16154298244 0.2311983384
## occupation_exec_managerial -0.14267978469 0.0102220533
## occupation_farming_fishing 0.17653417219 -0.0904064966
## occupation_handlers_cleaners -0.12731139624 -0.0201799753
## occupation_machine_op_inspct -0.05884892676 -0.2653291822
## occupation_other_service 0.01854907346 0.1815448360
## occupation_priv_house_serv -0.06411083121 0.1419297812
## occupation_prof_specialty -0.00892686212 -0.0351547544
## occupation_protective_serv 0.18699517273 -0.0708158972
## occupation_sales 0.09242245254 -0.1406179053
## occupation_tech_support 0.21022165742 0.1608869125
## occupation_transport_moving -0.10864759605 -0.0966915554
## relationship_husband -0.00963354127 0.0314078870
## relationship_not_in_family -0.04420072055 0.0062371261
## relationship_other_relative -0.03516799546 -0.0158409293
## relationship_own_child -0.04667300536 0.0052510220
## relationship_unmarried 0.09605175095 -0.0079938502
## relationship_wife 0.08112004569 -0.0709384790
## race_amer_indian_eskimo 0.04722492484 -0.1578223947
## race_asian_pac_islander 0.00706703047 -0.0386968836
## race_black -0.00236297619 0.1323762536
## race_other 0.04225340737 -0.4061076286
## race_white -0.02544544823 0.0550298689
## sex_female 0.03051144659 -0.0271547855
## sex_male -0.03051144659 0.0271547855
## native_country_cambodia 0.02386527783 0.0008410017
## native_country_canada -0.00917072002 0.1117444707
## native_country_china -0.06391299921 0.0022329104
## native_country_columbia 0.00473878148 -0.0073116516
## native_country_cuba -0.04847794937 0.0674610275
## native_country_dominican_republic 0.01243897847 -0.2705923138
## native_country_ecuador 0.00712813587 -0.1887908985
## native_country_el_salvador -0.02564801367 0.1354765705
## native_country_england -0.01667205955 0.1409741978
## native_country_france 0.00055528967 0.0550422321
## native_country_germany 0.03562138332 0.1476310109
## native_country_greece -0.05195081248 0.0633632124
## native_country_guatemala -0.02149167022 0.0246480358
## native_country_haiti -0.01144294693 0.1605700078
## native_country_holand_netherlands -0.02311829929 -0.0346912096
## native_country_honduras -0.00517336858 -0.0025550784
## native_country_hong 0.02494738878 0.0046906138
## native_country_hungary -0.00001374498 0.1006249469
## native_country_india -0.06400809119 -0.0934755430
## native_country_iran 0.02018184067 -0.0277828546
## native_country_ireland 0.02614908006 0.0578883843
## native_country_italy -0.04163216088 0.0890743613
## native_country_jamaica 0.01270895341 0.1737179441
## native_country_japan -0.00518143909 0.0183326492
## native_country_laos 0.01974641375 -0.0296632581
## native_country_mexico 0.02908445000 -0.0597861874
## native_country_nicaragua -0.03042875248 0.0425545671
## native_country_outlying_us(guam_usvi_etc) -0.00461379541 0.0495596804
## native_country_peru 0.04056836696 -0.0068781347
## native_country_philippines 0.06931321354 0.0253034631
## native_country_poland 0.00586584959 0.1195976901
## native_country_portugal -0.01061223125 -0.0002391726
## native_country_puerto_rico 0.01047977077 -0.1446555597
## native_country_scotland 0.01041736942 0.0297278601
## native_country_south 0.04063376914 -0.0383074981
## native_country_taiwan -0.08919784408 0.0010080761
## native_country_thailand 0.00909695813 0.0243863619
## native_country_trinadad&tobago -0.01863819314 0.0262586008
## native_country_united_states 0.00179835705 -0.1077517895
## native_country_vietnam 0.03130158855 -0.0164169080
## native_country_yugoslavia -0.00336049711 0.0774502954
## PC17 PC18
## l_capital_gain -0.0392322209 0.0018627543
## l_capital_loss 0.0436092726 -0.0288990605
## age -0.0459645520 -0.1073655825
## fnlwgt 0.1241714384 -0.1367865112
## education_num -0.0207812457 -0.0146207430
## hours_per_week 0.1276776801 0.0613616361
## workclass_federal_gov -0.3682237261 0.0702246181
## workclass_local_gov 0.0336418472 -0.1436963022
## workclass_private 0.0309822663 -0.0053328207
## workclass_self_emp_inc 0.0308645038 -0.0053422681
## workclass_self_emp_not_inc 0.0671049997 0.0290796767
## workclass_state_gov 0.0887664819 0.0938700950
## workclass_without_pay -0.0297384853 0.0166565599
## education_1st_4th -0.0677916260 -0.0415318076
## education_5th_6th 0.0553102153 0.0088512283
## education_7th_8th -0.0818938469 -0.0205349288
## education_9th 0.0054698532 0.0604586757
## education_10th -0.0235357108 0.0985943615
## education_11th -0.1935451753 0.0700493634
## education_12th -0.0889158309 0.0333597817
## education_assoc_acdm -0.0563861059 0.0100090716
## education_assoc_voc -0.1161652682 0.1701380984
## education_bachelors -0.2332983970 -0.0999927380
## education_doctorate 0.0988274125 0.0356571031
## education_hs_grad 0.0597041443 -0.0624413453
## education_masters 0.0959715447 0.2114493525
## education_preschool 0.1632628721 0.0365165851
## education_prof_school -0.0289039035 -0.1274598182
## education_some_college 0.2821178006 -0.1022421483
## marital_status_divorced 0.0587198189 0.1169985817
## marital_status_married_af_spouse 0.0616714083 0.0178838710
## marital_status_married_civ_spouse 0.0355291102 -0.0018874023
## marital_status_married_spouse_absent -0.0232211413 -0.0308205967
## marital_status_never_married 0.0046410515 0.0028853631
## marital_status_separated -0.0384310675 0.0174005527
## marital_status_widowed -0.1969761536 -0.2476825491
## occupation_adm_clerical -0.0905554610 -0.0854654191
## occupation_armed_forces -0.2089049712 0.0353986829
## occupation_craft_repair 0.0120380357 0.0055047780
## occupation_exec_managerial -0.0210829017 0.4281781691
## occupation_farming_fishing 0.0336665281 0.1115762405
## occupation_handlers_cleaners -0.1918941367 0.0731730157
## occupation_machine_op_inspct 0.0673465899 0.0491365648
## occupation_other_service 0.1130818069 0.2082734096
## occupation_priv_house_serv -0.1600549200 -0.1988288215
## occupation_prof_specialty -0.0034428108 -0.0668431794
## occupation_protective_serv 0.0821780180 -0.2233556947
## occupation_sales 0.0897655336 -0.4793097149
## occupation_tech_support -0.1340134617 0.0518488298
## occupation_transport_moving 0.0620548411 -0.0687507111
## relationship_husband -0.0301765976 -0.0268190184
## relationship_not_in_family 0.1802019110 -0.0904137510
## relationship_other_relative -0.1045034818 -0.1020247562
## relationship_own_child -0.0837670435 0.0733602884
## relationship_unmarried -0.1730555030 0.0960302758
## relationship_wife 0.1742010108 0.0698505452
## race_amer_indian_eskimo -0.1132793660 0.1329880221
## race_asian_pac_islander -0.0083783922 -0.0132617557
## race_black 0.0979854360 -0.0315449988
## race_other -0.1626500848 0.0074488311
## race_white -0.0050578777 -0.0064429860
## sex_female 0.0446073604 0.0001872708
## sex_male -0.0446073604 -0.0001872708
## native_country_cambodia 0.0312441298 -0.0511336375
## native_country_canada 0.0808892025 0.0135291779
## native_country_china 0.0940239697 0.0797074316
## native_country_columbia -0.0620884688 -0.0045090292
## native_country_cuba 0.0244023663 -0.0586758350
## native_country_dominican_republic -0.0520517975 0.0203592102
## native_country_ecuador -0.0804229673 -0.0018831333
## native_country_el_salvador 0.0171607676 -0.0310360566
## native_country_england 0.0224411547 0.0332561305
## native_country_france -0.0036529996 0.0132240151
## native_country_germany 0.0137176283 -0.0134731169
## native_country_greece 0.0360266505 0.0828118656
## native_country_guatemala -0.1519252565 -0.1302249410
## native_country_haiti 0.1604676122 -0.0038273434
## native_country_holand_netherlands 0.0167248095 -0.0126936364
## native_country_honduras -0.0010324334 -0.0357803575
## native_country_hong 0.0684777899 0.0319699923
## native_country_hungary -0.0012613791 -0.0296597479
## native_country_india -0.0460709695 -0.0513030598
## native_country_iran 0.0009352914 0.0409473625
## native_country_ireland 0.0219178699 0.0195697867
## native_country_italy 0.0181712701 -0.0035615975
## native_country_jamaica 0.1200167798 -0.0137325836
## native_country_japan 0.0484025445 0.0492293196
## native_country_laos 0.0534598163 -0.0107980146
## native_country_mexico 0.0678779804 0.0525616781
## native_country_nicaragua -0.0389120160 -0.0462127985
## native_country_outlying_us(guam_usvi_etc) 0.0565643771 0.0102576353
## native_country_peru -0.0002763405 -0.0073787261
## native_country_philippines -0.1186513114 -0.0583529504
## native_country_poland -0.0228772107 -0.0203674045
## native_country_portugal -0.0429680851 0.0553104155
## native_country_puerto_rico -0.1194134815 0.0200193738
## native_country_scotland 0.0424726420 0.0316743721
## native_country_south 0.0214812904 -0.0304808755
## native_country_taiwan 0.0610950621 0.0418942484
## native_country_thailand 0.0075532651 0.0197040417
## native_country_trinadad&tobago 0.0880100640 0.0099260268
## native_country_united_states -0.0475355795 -0.0097548198
## native_country_vietnam -0.0217216251 -0.0140565654
## native_country_yugoslavia 0.0167151027 0.0547861599
## PC19 PC20
## l_capital_gain -0.02726659851 0.2363371236
## l_capital_loss -0.02362709312 -0.1114555814
## age 0.03383842052 -0.0175069769
## fnlwgt 0.05595427630 -0.0163867371
## education_num -0.03513196589 -0.0400140394
## hours_per_week 0.01634771881 0.0691089694
## workclass_federal_gov 0.08508541889 0.0916613950
## workclass_local_gov -0.00543097292 0.2219667175
## workclass_private 0.01477253659 0.0087946975
## workclass_self_emp_inc -0.05724926373 0.1513655155
## workclass_self_emp_not_inc -0.02130037582 -0.0270155854
## workclass_state_gov -0.02647718365 -0.4710407037
## workclass_without_pay 0.09738867415 -0.0529081526
## education_1st_4th -0.02736186721 -0.0232319816
## education_5th_6th -0.08984673929 -0.0111072126
## education_7th_8th 0.21444887362 -0.0494728408
## education_9th 0.00776042436 0.0755183558
## education_10th 0.09817279930 0.0384303169
## education_11th 0.02778524562 0.0667539371
## education_12th 0.05076274248 0.0359431778
## education_assoc_acdm 0.07260175543 0.0519603310
## education_assoc_voc -0.06291878604 0.0766734292
## education_bachelors 0.15924583846 -0.1859173345
## education_doctorate 0.03182292529 -0.3781244476
## education_hs_grad -0.06821118017 -0.0642398345
## education_masters -0.17312463237 0.1394364737
## education_preschool 0.02652880696 0.0114689092
## education_prof_school 0.03631706918 0.3384038572
## education_some_college -0.10362671278 0.0404581920
## marital_status_divorced 0.06402260706 0.0989726260
## marital_status_married_af_spouse -0.03712574684 0.0181931270
## marital_status_married_civ_spouse -0.01057453371 -0.0036213663
## marital_status_married_spouse_absent -0.08322548647 -0.0845824181
## marital_status_never_married -0.00216061658 0.0219081223
## marital_status_separated -0.03767730391 -0.1204477198
## marital_status_widowed 0.00480927452 -0.0782126466
## occupation_adm_clerical 0.13508908136 -0.0067412910
## occupation_armed_forces -0.00072999210 0.1056686159
## occupation_craft_repair -0.35230979322 0.1039160456
## occupation_exec_managerial -0.12682571914 -0.0158788980
## occupation_farming_fishing 0.14507656097 -0.0992170678
## occupation_handlers_cleaners 0.04926700994 0.0703281519
## occupation_machine_op_inspct 0.23840717928 -0.0164346086
## occupation_other_service -0.10027067778 -0.0014305254
## occupation_priv_house_serv -0.24796113917 -0.0692913663
## occupation_prof_specialty 0.05407779131 0.0516425212
## occupation_protective_serv 0.02255459194 -0.0111297714
## occupation_sales -0.00001336296 -0.0157249697
## occupation_tech_support 0.02946742622 -0.1197399645
## occupation_transport_moving 0.20470326686 -0.0317415364
## relationship_husband 0.02329754711 -0.0424932822
## relationship_not_in_family -0.02535826028 0.0694683765
## relationship_other_relative -0.29878395037 -0.0493736416
## relationship_own_child 0.10747556978 0.0065599626
## relationship_unmarried 0.07655436016 -0.0781856058
## relationship_wife -0.05283738757 0.0982489638
## race_amer_indian_eskimo -0.14940587438 0.1196500623
## race_asian_pac_islander -0.01195884511 -0.0087046027
## race_black 0.05312062551 0.0109951745
## race_other -0.16424808376 -0.0702010875
## race_white 0.04491740666 -0.0208968865
## sex_female -0.02040700750 0.0150410676
## sex_male 0.02040700750 -0.0150410676
## native_country_cambodia -0.03384839154 0.0046650702
## native_country_canada 0.14972277214 0.0219813392
## native_country_china -0.01784660253 -0.1862527912
## native_country_columbia -0.00202776472 0.0015144820
## native_country_cuba 0.15125486124 0.1005181561
## native_country_dominican_republic 0.02127340866 0.0007237017
## native_country_ecuador -0.15604741423 -0.0648308775
## native_country_el_salvador -0.21148281142 0.0201548188
## native_country_england 0.05385051130 -0.0024252472
## native_country_france 0.02514666866 -0.0241593486
## native_country_germany 0.17911071020 0.0597929115
## native_country_greece -0.00033795787 0.1123785619
## native_country_guatemala -0.18721747162 -0.0382942673
## native_country_haiti 0.06561802844 0.0498425187
## native_country_holand_netherlands -0.03251054103 -0.0197887871
## native_country_honduras -0.05915787247 -0.0127417869
## native_country_hong -0.03585942563 -0.0235829168
## native_country_hungary -0.04686091112 0.0399137229
## native_country_india -0.04529724516 0.0435067737
## native_country_iran 0.01501523405 -0.0703385485
## native_country_ireland 0.01424012921 0.0440979720
## native_country_italy 0.10465792545 0.0709102663
## native_country_jamaica 0.02251743967 0.0159334333
## native_country_japan 0.02046775260 0.0585547705
## native_country_laos 0.03159451254 0.0480417358
## native_country_mexico 0.01065475884 -0.0234336236
## native_country_nicaragua -0.05448891747 -0.0352547156
## native_country_outlying_us(guam_usvi_etc) 0.04611108297 0.0363356603
## native_country_peru 0.07073582943 -0.0206036682
## native_country_philippines 0.08221983306 0.0730105440
## native_country_poland 0.00505439286 -0.0046694085
## native_country_portugal 0.17153584150 0.0680348336
## native_country_puerto_rico 0.04836967650 -0.0259838162
## native_country_scotland 0.03949367448 -0.0115971355
## native_country_south -0.07162059058 0.0404269301
## native_country_taiwan -0.00926129898 -0.1240440623
## native_country_thailand -0.02920330273 0.0077515358
## native_country_trinadad&tobago 0.02928474927 0.0563769258
## native_country_united_states -0.10414744587 -0.0556374972
## native_country_vietnam 0.01362460962 0.0277524279
## native_country_yugoslavia 0.03852822386 0.0309057378
## PC21 PC22
## l_capital_gain -0.2178275903 0.149080109
## l_capital_loss 0.2255994525 -0.120388505
## age 0.0273893364 -0.025717537
## fnlwgt 0.0143337931 -0.007004966
## education_num 0.0106529531 -0.066262496
## hours_per_week -0.0694796621 -0.008841270
## workclass_federal_gov 0.2060709688 0.075408860
## workclass_local_gov 0.0135094887 -0.095810665
## workclass_private 0.0229339771 -0.086101056
## workclass_self_emp_inc -0.2275883616 0.260960602
## workclass_self_emp_not_inc 0.0811458787 -0.148082365
## workclass_state_gov -0.1376352876 0.216339872
## workclass_without_pay -0.0571850684 -0.123453550
## education_1st_4th -0.1782584816 -0.005820619
## education_5th_6th 0.1176152363 0.044369955
## education_7th_8th -0.1077743789 -0.067486632
## education_9th -0.0377981577 0.119763288
## education_10th 0.1095388077 0.155664860
## education_11th 0.1131925215 -0.031163983
## education_12th -0.0574443216 -0.005046973
## education_assoc_acdm -0.0368150291 -0.097264034
## education_assoc_voc -0.2827724232 0.095262535
## education_bachelors 0.1356440845 0.195585394
## education_doctorate -0.1060802274 0.068712739
## education_hs_grad -0.0320282644 -0.006563147
## education_masters 0.0429031548 -0.431365756
## education_preschool 0.0757982463 0.044698169
## education_prof_school -0.0273284966 0.182632669
## education_some_college 0.0442012749 -0.083577242
## marital_status_divorced 0.0214601491 0.010265007
## marital_status_married_af_spouse 0.0306225274 0.099753067
## marital_status_married_civ_spouse 0.0152318855 0.003011792
## marital_status_married_spouse_absent 0.1082400634 -0.095626072
## marital_status_never_married -0.0677802819 -0.008036286
## marital_status_separated 0.0623686850 0.111136588
## marital_status_widowed -0.0415332757 -0.077109484
## occupation_adm_clerical 0.0169310601 -0.065126872
## occupation_armed_forces 0.1912000837 0.056572842
## occupation_craft_repair 0.0175076593 0.104671816
## occupation_exec_managerial -0.0673035317 -0.069578701
## occupation_farming_fishing -0.0756482932 -0.218907779
## occupation_handlers_cleaners -0.0459613398 -0.205688547
## occupation_machine_op_inspct -0.2375978977 0.065922232
## occupation_other_service 0.2095032540 0.266401212
## occupation_priv_house_serv -0.2302271376 -0.149991974
## occupation_prof_specialty 0.0570073043 -0.004668460
## occupation_protective_serv -0.1460980652 0.124295648
## occupation_sales 0.0407342120 -0.020166490
## occupation_tech_support -0.1083114237 0.034390247
## occupation_transport_moving 0.2233488849 -0.061642021
## relationship_husband 0.0163418396 -0.010267413
## relationship_not_in_family 0.0338174312 0.107643852
## relationship_other_relative 0.0330148025 -0.013830674
## relationship_own_child -0.0875663163 -0.076571522
## relationship_unmarried 0.0078215524 -0.071668683
## relationship_wife 0.0004129308 0.044729835
## race_amer_indian_eskimo 0.0131889179 -0.017792171
## race_asian_pac_islander -0.0118545965 0.013572383
## race_black -0.0573351587 -0.046242567
## race_other 0.0704969190 0.097194990
## race_white 0.0322554092 0.012618026
## sex_female -0.0221980023 0.004038937
## sex_male 0.0221980023 -0.004038937
## native_country_cambodia -0.0379918704 0.015995447
## native_country_canada 0.0473841532 0.041332813
## native_country_china 0.0393657874 0.007214580
## native_country_columbia -0.0093962770 0.006695076
## native_country_cuba -0.0257552883 -0.013646601
## native_country_dominican_republic -0.0710686644 0.076406085
## native_country_ecuador 0.0366577031 0.027182863
## native_country_el_salvador 0.1083479175 0.124926957
## native_country_england -0.0447411615 -0.090491069
## native_country_france -0.0411656393 -0.130391678
## native_country_germany -0.0523730864 -0.003622727
## native_country_greece -0.0644681505 0.011864601
## native_country_guatemala -0.2233332297 -0.121725793
## native_country_haiti 0.0801668576 -0.019091136
## native_country_holand_netherlands 0.0112462918 -0.035168129
## native_country_honduras 0.0145103346 0.038728580
## native_country_hong -0.0049335318 -0.026444898
## native_country_hungary 0.0058223737 -0.053162858
## native_country_india 0.0112846623 -0.038440953
## native_country_iran 0.0938953770 -0.082960395
## native_country_ireland 0.0173193564 0.007226774
## native_country_italy 0.0168340229 -0.011415602
## native_country_jamaica -0.0140576757 -0.128530970
## native_country_japan 0.0289262990 0.003125135
## native_country_laos -0.0261793624 0.040204743
## native_country_mexico 0.0291658347 0.005151811
## native_country_nicaragua -0.0037261212 -0.084039850
## native_country_outlying_us(guam_usvi_etc) 0.0031332488 -0.013577556
## native_country_peru 0.0996689241 -0.015281949
## native_country_philippines 0.0890619818 0.069579478
## native_country_poland -0.0030492325 -0.135018587
## native_country_portugal -0.2173418787 0.055828303
## native_country_puerto_rico 0.1603214466 0.077964249
## native_country_scotland 0.0460829331 -0.003591719
## native_country_south -0.0028837973 -0.037946635
## native_country_taiwan -0.1206269394 -0.015181333
## native_country_thailand -0.0944019097 0.008502256
## native_country_trinadad&tobago -0.0386201625 -0.007050316
## native_country_united_states -0.0056795600 0.035732419
## native_country_vietnam -0.0651848866 -0.001748068
## native_country_yugoslavia -0.0458921512 0.003533997
## PC23 PC24
## l_capital_gain -0.0310591189 -0.1989613734
## l_capital_loss -0.0004913355 0.3132563105
## age 0.0021585005 0.0117662136
## fnlwgt 0.1417227004 0.1216992108
## education_num -0.0209781503 0.0120930995
## hours_per_week -0.0825170504 -0.0665630197
## workclass_federal_gov 0.0100124088 0.1479866391
## workclass_local_gov 0.0128515440 0.0089060203
## workclass_private -0.0073164565 -0.0639366811
## workclass_self_emp_inc -0.1032171421 0.0929506410
## workclass_self_emp_not_inc 0.0609276253 0.0014411573
## workclass_state_gov 0.0090168782 -0.0850835881
## workclass_without_pay -0.0536946319 -0.0144625867
## education_1st_4th 0.1194159956 -0.0514636507
## education_5th_6th -0.1046642465 0.0087222597
## education_7th_8th 0.0916105472 0.0198193561
## education_9th 0.0838116912 -0.0233766399
## education_10th 0.0548348989 0.0391859417
## education_11th 0.0498262149 -0.0537474707
## education_12th -0.0781471064 0.0545833834
## education_assoc_acdm -0.2163343922 0.2225121340
## education_assoc_voc -0.2056205783 0.0581445247
## education_bachelors 0.2062232261 -0.1479447113
## education_doctorate -0.0008271445 -0.0505140917
## education_hs_grad -0.0603726625 0.0075725811
## education_masters 0.0184111740 0.1821512113
## education_preschool -0.0726588194 0.0659269962
## education_prof_school -0.1094374585 -0.0231682694
## education_some_college 0.0370322533 -0.0858610255
## marital_status_divorced 0.0015448029 -0.0605979817
## marital_status_married_af_spouse 0.0214228941 -0.0820197418
## marital_status_married_civ_spouse -0.0033886603 -0.0113923989
## marital_status_married_spouse_absent 0.0182417477 -0.2185873099
## marital_status_never_married -0.0220078546 0.0430710905
## marital_status_separated 0.0538849574 0.0859762504
## marital_status_widowed -0.0029943711 0.1072079134
## occupation_adm_clerical 0.1163142685 -0.0995746663
## occupation_armed_forces -0.0264516194 0.2126327288
## occupation_craft_repair 0.4032023215 0.0469028633
## occupation_exec_managerial 0.0399896278 -0.0350138980
## occupation_farming_fishing -0.0676200953 -0.0577700327
## occupation_handlers_cleaners 0.0719771112 -0.1627574451
## occupation_machine_op_inspct 0.0367217848 0.3406801777
## occupation_other_service -0.1426570704 0.0121689123
## occupation_priv_house_serv -0.0891561629 -0.1106629148
## occupation_prof_specialty 0.0785315436 -0.0220976042
## occupation_protective_serv -0.0762086554 -0.0065603045
## occupation_sales -0.0242347598 0.1261062707
## occupation_tech_support -0.3877168773 0.1553844770
## occupation_transport_moving -0.4081626567 -0.3214426221
## relationship_husband -0.0070193493 0.0064922187
## relationship_not_in_family 0.0110667341 -0.0129585653
## relationship_other_relative -0.1140597276 0.0901996018
## relationship_own_child 0.0038349674 -0.0015803147
## relationship_unmarried 0.0371649166 0.0020248725
## relationship_wife 0.0248655951 -0.0615706855
## race_amer_indian_eskimo -0.0346811969 -0.2100029577
## race_asian_pac_islander 0.0019453617 0.0204493504
## race_black 0.0542001953 0.0126428580
## race_other -0.0487977921 0.0161378197
## race_white -0.0242994773 0.0345407700
## sex_female -0.0015319024 -0.0001882779
## sex_male 0.0015319024 0.0001882779
## native_country_cambodia 0.0753470797 0.0853241938
## native_country_canada -0.0069617446 -0.0248580024
## native_country_china -0.0001717321 0.0645063566
## native_country_columbia -0.0780166332 0.0201948791
## native_country_cuba -0.0630623337 0.0143661275
## native_country_dominican_republic 0.0511679954 0.0284393537
## native_country_ecuador -0.0817377918 0.0232422790
## native_country_el_salvador -0.1794083170 -0.0444754573
## native_country_england 0.0045276430 -0.0479978208
## native_country_france -0.0809077047 -0.0313258509
## native_country_germany -0.0100386055 -0.0849280460
## native_country_greece -0.0820158796 0.0520596719
## native_country_guatemala -0.0200352275 -0.0856037139
## native_country_haiti -0.0584711025 0.0074068759
## native_country_holand_netherlands -0.0401716089 0.1640066604
## native_country_honduras 0.0357128576 -0.0165691768
## native_country_hong 0.0151486329 0.1170363255
## native_country_hungary 0.0046013567 -0.0255850189
## native_country_india -0.0622524446 -0.0197056238
## native_country_iran 0.0054431908 0.0716981604
## native_country_ireland 0.0768477968 -0.0206685480
## native_country_italy 0.0233221391 0.0244503800
## native_country_jamaica -0.0332557054 -0.1008834546
## native_country_japan 0.0597735507 -0.0638998657
## native_country_laos 0.0215025642 0.1195021753
## native_country_mexico 0.0633855364 0.0140342924
## native_country_nicaragua -0.0574161198 0.1211872213
## native_country_outlying_us(guam_usvi_etc) 0.0532177495 -0.0746573486
## native_country_peru -0.0033061672 0.0465254788
## native_country_philippines -0.0278590781 -0.0967770127
## native_country_poland 0.0826637890 -0.0662589720
## native_country_portugal 0.2218899167 0.0618158708
## native_country_puerto_rico 0.0102042393 -0.0152712708
## native_country_scotland -0.0271149646 0.0054214186
## native_country_south 0.0377632389 0.0491460080
## native_country_taiwan 0.0249062062 0.0094932636
## native_country_thailand -0.0880120827 -0.0187541386
## native_country_trinadad&tobago -0.0220702251 0.1064473031
## native_country_united_states 0.0117191928 0.0137219461
## native_country_vietnam 0.0389415908 0.0209596703
## native_country_yugoslavia -0.0299094244 -0.0123576810
## PC25 PC26
## l_capital_gain 0.249722305 0.047641361
## l_capital_loss -0.295410258 -0.067083479
## age 0.078439023 0.021795779
## fnlwgt -0.030463958 0.046960204
## education_num 0.071637581 -0.007874628
## hours_per_week -0.103436915 -0.073485515
## workclass_federal_gov -0.087567863 0.061282986
## workclass_local_gov 0.035611237 -0.018020461
## workclass_private 0.057121228 -0.008261551
## workclass_self_emp_inc -0.089320669 0.108697829
## workclass_self_emp_not_inc -0.012918865 -0.110559394
## workclass_state_gov -0.003850038 0.033860709
## workclass_without_pay 0.098801579 0.045784519
## education_1st_4th -0.116245437 0.201205346
## education_5th_6th 0.108290089 -0.112537647
## education_7th_8th 0.034568360 -0.078386613
## education_9th -0.260442821 -0.083900005
## education_10th -0.182540847 -0.028864928
## education_11th -0.125605340 0.089168598
## education_12th 0.010082141 0.100647032
## education_assoc_acdm -0.218959200 0.304863976
## education_assoc_voc 0.044124066 0.014624858
## education_bachelors 0.042439516 -0.065191060
## education_doctorate -0.149877578 0.048330511
## education_hs_grad 0.093299161 0.015569556
## education_masters 0.074733173 0.058249023
## education_preschool 0.134464704 0.308132430
## education_prof_school 0.030925553 -0.080308950
## education_some_college 0.088779355 -0.160821520
## marital_status_divorced -0.167120755 0.046895399
## marital_status_married_af_spouse -0.137310167 -0.030391022
## marital_status_married_civ_spouse -0.021076299 0.010759227
## marital_status_married_spouse_absent 0.074414987 0.327675119
## marital_status_never_married 0.026920192 -0.041111677
## marital_status_separated 0.059506327 -0.248648171
## marital_status_widowed 0.247013208 0.034272740
## occupation_adm_clerical 0.035340480 0.049383460
## occupation_armed_forces -0.092253512 0.036302074
## occupation_craft_repair -0.032159046 0.076728237
## occupation_exec_managerial 0.054250516 -0.047637972
## occupation_farming_fishing 0.085527239 -0.046386808
## occupation_handlers_cleaners -0.067883019 -0.048714238
## occupation_machine_op_inspct 0.125724574 -0.144170733
## occupation_other_service 0.110673090 0.036433916
## occupation_priv_house_serv -0.180418067 -0.095489827
## occupation_prof_specialty -0.016106647 -0.043588922
## occupation_protective_serv 0.031253174 -0.013785652
## occupation_sales -0.092364286 0.174240244
## occupation_tech_support 0.020344276 -0.026877291
## occupation_transport_moving -0.197574002 -0.054993720
## relationship_husband 0.038791200 0.022641239
## relationship_not_in_family -0.057372272 -0.003967683
## relationship_other_relative 0.054443719 -0.195904403
## relationship_own_child 0.036507698 0.057729936
## relationship_unmarried 0.060658807 0.022268238
## relationship_wife -0.165747292 -0.015945349
## race_amer_indian_eskimo -0.084858789 0.014112205
## race_asian_pac_islander -0.010886988 0.002646714
## race_black -0.003474300 -0.018267554
## race_other 0.045707360 0.033228412
## race_white 0.020457339 0.001654604
## sex_female -0.024779219 -0.002475794
## sex_male 0.024779219 0.002475794
## native_country_cambodia 0.050366211 0.033788953
## native_country_canada -0.100121519 -0.097144905
## native_country_china -0.015001409 0.086530477
## native_country_columbia -0.034778789 -0.053153499
## native_country_cuba -0.056341500 -0.065487197
## native_country_dominican_republic 0.003769740 0.228567699
## native_country_ecuador 0.153465146 -0.121981949
## native_country_el_salvador -0.045584010 0.065944223
## native_country_england -0.066754369 -0.069848311
## native_country_france -0.042250094 0.032860540
## native_country_germany 0.017025715 -0.024469316
## native_country_greece 0.023364145 -0.075162054
## native_country_guatemala -0.237604567 -0.118680472
## native_country_haiti 0.058148826 0.156238956
## native_country_holand_netherlands -0.021910909 -0.163807635
## native_country_honduras -0.059276665 -0.062319964
## native_country_hong -0.100898479 0.029612264
## native_country_hungary 0.028285420 -0.023109093
## native_country_india 0.034659298 0.158552758
## native_country_iran -0.023138057 0.004298448
## native_country_ireland 0.020015310 -0.041881450
## native_country_italy 0.115185039 -0.043974657
## native_country_jamaica 0.008253370 0.017000030
## native_country_japan 0.034862474 -0.048791579
## native_country_laos 0.094357006 0.060689678
## native_country_mexico 0.076155532 0.080389256
## native_country_nicaragua 0.040283114 -0.141442380
## native_country_outlying_us(guam_usvi_etc) -0.052443773 -0.114610439
## native_country_peru 0.056855534 -0.018787367
## native_country_philippines 0.075505580 -0.127379237
## native_country_poland 0.075195791 0.110385612
## native_country_portugal -0.158047715 0.011658530
## native_country_puerto_rico 0.016484857 -0.046941349
## native_country_scotland 0.067379655 -0.101648314
## native_country_south -0.081683007 -0.054359285
## native_country_taiwan -0.109722602 0.040814740
## native_country_thailand -0.058673699 0.097304543
## native_country_trinadad&tobago -0.065072072 -0.114048304
## native_country_united_states 0.013711163 0.036272655
## native_country_vietnam -0.034281646 -0.077866304
## native_country_yugoslavia 0.032754915 -0.061383370
## PC27 PC28
## l_capital_gain 0.041802833 -0.0331230153
## l_capital_loss -0.052384075 0.1373478090
## age -0.024323346 -0.0418070953
## fnlwgt 0.302400834 -0.0856716505
## education_num -0.007446748 -0.0239131119
## hours_per_week 0.023468473 0.0490515901
## workclass_federal_gov -0.061754467 0.0015542964
## workclass_local_gov 0.005147618 -0.0045121136
## workclass_private 0.002080300 -0.0185873535
## workclass_self_emp_inc -0.039859425 0.0786052820
## workclass_self_emp_not_inc 0.067856954 -0.0454199697
## workclass_state_gov -0.019861288 0.0229393608
## workclass_without_pay 0.054757901 0.1057005579
## education_1st_4th 0.037996179 -0.1624133287
## education_5th_6th -0.108157819 -0.1391692741
## education_7th_8th 0.049917643 0.0700400351
## education_9th 0.060018038 0.1466985380
## education_10th 0.047989626 -0.0719962770
## education_11th -0.027378050 0.1684575866
## education_12th 0.081707584 -0.2783798901
## education_assoc_acdm 0.136572944 -0.0416384651
## education_assoc_voc -0.133999762 -0.0340772611
## education_bachelors -0.014061005 0.0234417330
## education_doctorate -0.170599110 -0.0733011034
## education_hs_grad -0.023123293 -0.0150718530
## education_masters 0.049524306 -0.0786854799
## education_preschool -0.021236974 0.2708289812
## education_prof_school 0.121853986 0.1335826869
## education_some_college -0.016228399 0.0486466148
## marital_status_divorced -0.002225400 -0.0265970552
## marital_status_married_af_spouse 0.003187282 0.0379789847
## marital_status_married_civ_spouse -0.006137788 -0.0129039682
## marital_status_married_spouse_absent -0.043474530 0.2566460667
## marital_status_never_married 0.001250535 -0.0204515438
## marital_status_separated 0.107419447 0.1088381054
## marital_status_widowed -0.064832875 -0.1382848339
## occupation_adm_clerical 0.097373513 -0.0117718955
## occupation_armed_forces -0.130560512 -0.0328010833
## occupation_craft_repair 0.074572544 -0.0664431239
## occupation_exec_managerial 0.118936677 0.0662448047
## occupation_farming_fishing 0.047898744 0.0555338749
## occupation_handlers_cleaners -0.156682975 0.0624238663
## occupation_machine_op_inspct -0.104053697 0.1808113286
## occupation_other_service 0.050591595 -0.0729484034
## occupation_priv_house_serv 0.100180042 0.1016241816
## occupation_prof_specialty -0.028259521 -0.0055051620
## occupation_protective_serv -0.038092863 0.0800672317
## occupation_sales -0.244703172 -0.1022599596
## occupation_tech_support -0.027671307 -0.0143621997
## occupation_transport_moving 0.141347348 -0.0995213052
## relationship_husband -0.001022931 -0.0214097361
## relationship_not_in_family -0.005059166 -0.0384994319
## relationship_other_relative -0.101145886 0.0811706116
## relationship_own_child 0.039557871 -0.0095707833
## relationship_unmarried 0.021379812 0.0422062222
## relationship_wife -0.003050966 0.0190071394
## race_amer_indian_eskimo -0.527802602 -0.0941720666
## race_asian_pac_islander 0.094018710 -0.0037882030
## race_black 0.014796794 -0.0172057516
## race_other 0.115058981 -0.0862981238
## race_white 0.061592930 0.0646912100
## sex_female 0.001829238 -0.0026041874
## sex_male -0.001829238 0.0026041874
## native_country_cambodia -0.003174554 0.0395605253
## native_country_canada -0.179231301 0.0001865235
## native_country_china -0.004694511 0.0285273457
## native_country_columbia 0.045966116 0.0687835178
## native_country_cuba 0.087431438 -0.0993606836
## native_country_dominican_republic 0.073367762 -0.0218511411
## native_country_ecuador 0.022528758 -0.0813991368
## native_country_el_salvador 0.044245533 0.0681404420
## native_country_england -0.053961571 -0.0617246569
## native_country_france -0.001758043 0.0320417149
## native_country_germany -0.143066555 0.0148289507
## native_country_greece -0.093645765 0.0313289688
## native_country_guatemala 0.124644157 0.1371446606
## native_country_haiti -0.079555954 0.2136443238
## native_country_holand_netherlands -0.116786863 0.1521276715
## native_country_honduras -0.054497068 0.1185723681
## native_country_hong -0.024882594 0.0516051055
## native_country_hungary 0.040490551 -0.0055923311
## native_country_india 0.089118968 0.1324755752
## native_country_iran 0.005279827 -0.1339390894
## native_country_ireland -0.109232575 0.1283753618
## native_country_italy -0.128533256 -0.2517124130
## native_country_jamaica -0.042523113 -0.0089752118
## native_country_japan 0.120882438 -0.0870225176
## native_country_laos -0.009181790 0.1479301893
## native_country_mexico -0.079660123 -0.1587986411
## native_country_nicaragua 0.065615283 0.0370403202
## native_country_outlying_us(guam_usvi_etc) -0.032890818 -0.0008101843
## native_country_peru 0.049926140 0.0681099574
## native_country_philippines 0.085492756 0.0874748713
## native_country_poland -0.156177631 0.2184324549
## native_country_portugal -0.042948023 0.0100945147
## native_country_puerto_rico 0.085070171 0.1088740253
## native_country_scotland -0.046181496 0.0352249318
## native_country_south -0.076056658 -0.1278771423
## native_country_taiwan -0.014625402 -0.1258370257
## native_country_thailand 0.108563206 -0.0502648762
## native_country_trinadad&tobago -0.015560149 -0.0454523590
## native_country_united_states 0.057080696 -0.0001087899
## native_country_vietnam 0.049594659 -0.1075263734
## native_country_yugoslavia 0.074343018 0.0044075268
## PC29 PC30
## l_capital_gain -0.101659435 -0.141687480
## l_capital_loss 0.074541193 0.165037730
## age -0.037383158 -0.005827813
## fnlwgt -0.085011290 0.001763145
## education_num 0.050922342 0.004857947
## hours_per_week 0.054373023 0.018397632
## workclass_federal_gov 0.051167673 -0.058111953
## workclass_local_gov 0.038770080 -0.024525778
## workclass_private 0.036623676 -0.017328689
## workclass_self_emp_inc -0.129267682 0.087172423
## workclass_self_emp_not_inc 0.037963074 -0.016082526
## workclass_state_gov -0.099369509 0.056144436
## workclass_without_pay -0.044749391 0.030537299
## education_1st_4th 0.255082249 0.058860332
## education_5th_6th -0.213872146 0.069396561
## education_7th_8th -0.109907086 0.035498730
## education_9th 0.016283764 -0.270005806
## education_10th 0.006731282 0.314272577
## education_11th -0.319769094 -0.132228022
## education_12th 0.267314457 0.103571194
## education_assoc_acdm -0.272473742 0.081082390
## education_assoc_voc -0.021197148 0.036677537
## education_bachelors 0.111640993 -0.023526065
## education_doctorate -0.035861484 -0.086436013
## education_hs_grad 0.027792843 -0.039938678
## education_masters -0.037421523 -0.040995274
## education_preschool 0.138415075 -0.308674766
## education_prof_school 0.045337895 0.101039441
## education_some_college 0.106305003 0.005837164
## marital_status_divorced 0.072937770 -0.089539915
## marital_status_married_af_spouse -0.025177868 0.096910096
## marital_status_married_civ_spouse -0.002107162 -0.005392794
## marital_status_married_spouse_absent 0.034035618 0.344750701
## marital_status_never_married -0.009066482 -0.021646841
## marital_status_separated -0.073414008 0.057722562
## marital_status_widowed -0.061967173 -0.040196059
## occupation_adm_clerical -0.042366119 -0.011272159
## occupation_armed_forces 0.158170844 -0.055339249
## occupation_craft_repair -0.051820482 0.015717875
## occupation_exec_managerial -0.005738636 0.033790617
## occupation_farming_fishing 0.047044164 -0.053731611
## occupation_handlers_cleaners -0.137265625 0.063317748
## occupation_machine_op_inspct 0.061650620 0.011074140
## occupation_other_service 0.115064485 0.044227666
## occupation_priv_house_serv 0.093170792 -0.103102773
## occupation_prof_specialty 0.064630195 -0.016113939
## occupation_protective_serv -0.019109781 0.009395537
## occupation_sales -0.088913904 -0.083317136
## occupation_tech_support -0.046459875 0.017280628
## occupation_transport_moving 0.050863789 0.015401380
## relationship_husband 0.027761664 -0.024679575
## relationship_not_in_family -0.143927687 0.036733552
## relationship_other_relative 0.096129888 0.087918015
## relationship_own_child 0.048177284 -0.037832276
## relationship_unmarried 0.112307498 -0.051966061
## relationship_wife -0.088470903 0.049874511
## race_amer_indian_eskimo 0.022733225 -0.064055514
## race_asian_pac_islander -0.012001150 -0.003115503
## race_black -0.009761794 0.027781542
## race_other -0.100434954 -0.088460882
## race_white 0.033080829 0.018662526
## sex_female -0.004931061 0.009058215
## sex_male 0.004931061 -0.009058215
## native_country_cambodia 0.170851468 -0.071956116
## native_country_canada 0.009437255 -0.079852306
## native_country_china 0.062804324 0.007946387
## native_country_columbia 0.070193960 0.092543825
## native_country_cuba 0.046888528 0.069569431
## native_country_dominican_republic 0.212151927 0.077929153
## native_country_ecuador 0.008103927 0.060451672
## native_country_el_salvador 0.145947385 -0.199371192
## native_country_england 0.049218385 -0.113542794
## native_country_france 0.014119456 -0.045618643
## native_country_germany 0.013019145 -0.049913766
## native_country_greece -0.065816204 0.098567970
## native_country_guatemala 0.061266659 0.034205229
## native_country_haiti 0.203008079 -0.057001207
## native_country_holand_netherlands 0.120688052 0.103925923
## native_country_honduras -0.085143828 0.190903138
## native_country_hong -0.114588014 -0.136673871
## native_country_hungary -0.010496691 0.033571397
## native_country_india -0.181463496 0.080128033
## native_country_iran -0.030984654 -0.135763612
## native_country_ireland -0.018704520 0.031995708
## native_country_italy -0.055365385 0.210440021
## native_country_jamaica -0.067420082 0.114994019
## native_country_japan -0.028013623 -0.038491475
## native_country_laos -0.079834770 0.002450578
## native_country_mexico -0.073698599 -0.013015337
## native_country_nicaragua 0.013820383 -0.150611534
## native_country_outlying_us(guam_usvi_etc) -0.006101739 -0.067155107
## native_country_peru -0.024561796 0.076146643
## native_country_philippines 0.045338168 0.033361148
## native_country_poland -0.006094248 0.206756587
## native_country_portugal 0.107305243 0.018481604
## native_country_puerto_rico -0.236963096 -0.195015165
## native_country_scotland -0.005028644 -0.004346283
## native_country_south 0.035119739 -0.023123727
## native_country_taiwan -0.092321433 -0.087614288
## native_country_thailand 0.074374669 0.103204614
## native_country_trinadad&tobago -0.047175987 -0.051656478
## native_country_united_states -0.005230070 0.017289680
## native_country_vietnam 0.047454323 0.025527205
## native_country_yugoslavia -0.016947686 -0.052345600
## PC31 PC32
## l_capital_gain 0.042442152 0.17293685414
## l_capital_loss -0.128651391 -0.37111388880
## age 0.020513092 -0.02866881402
## fnlwgt -0.059379844 0.01128363048
## education_num 0.044709741 -0.01610462324
## hours_per_week -0.030943784 -0.02774925612
## workclass_federal_gov 0.020857940 0.11711160717
## workclass_local_gov -0.045856111 -0.03455650192
## workclass_private 0.016083521 -0.04975771548
## workclass_self_emp_inc -0.096571908 -0.11721015781
## workclass_self_emp_not_inc 0.039257458 0.08523127348
## workclass_state_gov 0.027892888 0.04507286589
## workclass_without_pay 0.112397085 -0.02345516032
## education_1st_4th 0.235159771 -0.28673034459
## education_5th_6th -0.102571236 0.10295181907
## education_7th_8th -0.119143715 0.04636561254
## education_9th 0.226650483 0.07819957635
## education_10th -0.123712258 0.12527114001
## education_11th -0.118441263 -0.02303783542
## education_12th -0.232545643 0.19524843392
## education_assoc_acdm 0.231300338 0.14096132625
## education_assoc_voc -0.230063007 -0.17197553111
## education_bachelors -0.072279181 0.01807151207
## education_doctorate -0.048486559 0.04518005923
## education_hs_grad 0.091810273 -0.06422602820
## education_masters 0.036697625 0.04631304577
## education_preschool -0.190360474 -0.05197528800
## education_prof_school 0.054377126 -0.13734672909
## education_some_college 0.089317796 -0.01510108736
## marital_status_divorced -0.041774827 0.10448668690
## marital_status_married_af_spouse 0.049367150 0.08829615121
## marital_status_married_civ_spouse 0.011540065 0.00400319930
## marital_status_married_spouse_absent 0.016624792 0.11563948723
## marital_status_never_married -0.028207053 -0.04490289349
## marital_status_separated 0.086675734 0.00291312590
## marital_status_widowed 0.022254486 -0.19757246282
## occupation_adm_clerical -0.152410324 -0.11500638220
## occupation_armed_forces 0.049445652 0.25463421784
## occupation_craft_repair -0.137854874 -0.01899440268
## occupation_exec_managerial -0.038753978 -0.02535121372
## occupation_farming_fishing 0.019253820 -0.04825338977
## occupation_handlers_cleaners 0.138576152 -0.06895256548
## occupation_machine_op_inspct 0.032902347 0.22360656409
## occupation_other_service 0.186446819 -0.04020542968
## occupation_priv_house_serv -0.112609172 0.11937322720
## occupation_prof_specialty -0.016716692 -0.01429068023
## occupation_protective_serv 0.063014801 0.04094993549
## occupation_sales 0.080351609 0.12215687820
## occupation_tech_support 0.170216320 -0.07575654001
## occupation_transport_moving -0.181380183 -0.03567934167
## relationship_husband 0.010920970 -0.01548158471
## relationship_not_in_family 0.029452349 0.00778252028
## relationship_other_relative 0.046193153 0.01481653781
## relationship_own_child -0.053011410 -0.01613779584
## relationship_unmarried -0.027442828 -0.01238101969
## relationship_wife 0.005028474 0.05337704167
## race_amer_indian_eskimo 0.021754782 -0.02699158543
## race_asian_pac_islander -0.007690071 0.01303438056
## race_black -0.010124237 -0.00788439149
## race_other -0.016005589 -0.06182328195
## race_white 0.010149788 0.02362272609
## sex_female -0.022484349 -0.00273494809
## sex_male 0.022484349 0.00273494809
## native_country_cambodia -0.133673660 -0.01031037110
## native_country_canada -0.126407968 -0.07846499845
## native_country_china 0.003059600 0.09936572315
## native_country_columbia 0.057897682 0.05645642733
## native_country_cuba -0.033317143 -0.04335628239
## native_country_dominican_republic -0.010654977 -0.02565815890
## native_country_ecuador -0.063111899 0.08152773912
## native_country_el_salvador 0.091633947 0.04702277263
## native_country_england 0.026076733 0.03700697368
## native_country_france 0.040404875 0.09935799307
## native_country_germany -0.101582962 0.03182361917
## native_country_greece -0.151652340 -0.14284716990
## native_country_guatemala -0.137300593 0.19538827198
## native_country_haiti -0.086491437 0.00279550540
## native_country_holand_netherlands -0.002932918 -0.09102388308
## native_country_honduras -0.047467291 0.03250389547
## native_country_hong -0.126707597 -0.05582539756
## native_country_hungary -0.012666810 -0.01122073318
## native_country_india 0.043490734 -0.06444401487
## native_country_iran 0.071821431 0.09267477967
## native_country_ireland 0.033196802 0.00346169383
## native_country_italy -0.093344392 0.11103446042
## native_country_jamaica 0.032887584 -0.01342648268
## native_country_japan 0.034305146 0.01121776291
## native_country_laos -0.245229783 0.17722891877
## native_country_mexico 0.033893956 -0.11816713551
## native_country_nicaragua -0.101314610 -0.01731556402
## native_country_outlying_us(guam_usvi_etc) 0.131824831 -0.02139607791
## native_country_peru 0.119623411 0.10514692027
## native_country_philippines 0.105284848 -0.05123338019
## native_country_poland 0.087924340 0.11886074564
## native_country_portugal 0.223383116 -0.11444342808
## native_country_puerto_rico -0.022053573 -0.16941643226
## native_country_scotland 0.117896791 0.07902387779
## native_country_south -0.028570850 0.05627259096
## native_country_taiwan -0.070371194 0.00427637967
## native_country_thailand 0.014949577 -0.08202934426
## native_country_trinadad&tobago 0.095671561 0.01937017382
## native_country_united_states 0.002750419 -0.00007998735
## native_country_vietnam 0.025120168 -0.00663325874
## native_country_yugoslavia 0.021290456 0.15534435569
## PC33 PC34
## l_capital_gain 0.0645630917 -0.108072571
## l_capital_loss -0.0909878142 0.174064689
## age -0.0644504047 -0.015684864
## fnlwgt 0.0641455163 -0.173146622
## education_num -0.0059158185 0.028804104
## hours_per_week 0.0918324996 0.002312850
## workclass_federal_gov 0.1101254345 -0.038492597
## workclass_local_gov 0.0359304832 0.014682695
## workclass_private 0.0109266317 0.032362318
## workclass_self_emp_inc -0.0455177646 -0.021279163
## workclass_self_emp_not_inc -0.0074572589 0.000923784
## workclass_state_gov -0.1018570057 -0.043064946
## workclass_without_pay -0.0809585776 0.054894473
## education_1st_4th 0.1972945012 0.054958980
## education_5th_6th -0.0619127178 0.175983892
## education_7th_8th -0.0543181750 -0.068755051
## education_9th -0.2434243233 -0.116827462
## education_10th 0.1841107961 -0.114452658
## education_11th -0.0015177827 0.030559206
## education_12th -0.2806715336 -0.029423538
## education_assoc_acdm -0.1862647779 0.203905511
## education_assoc_voc 0.1128732709 -0.199859932
## education_bachelors -0.0843546944 0.028016943
## education_doctorate -0.0153440315 0.003032298
## education_hs_grad 0.0513608973 0.008666524
## education_masters 0.1459309656 -0.136450759
## education_preschool 0.0176279457 -0.050543283
## education_prof_school -0.0587067031 0.125050030
## education_some_college 0.0583283687 0.059129570
## marital_status_divorced -0.2458552589 -0.037836788
## marital_status_married_af_spouse 0.0372397518 -0.151771867
## marital_status_married_civ_spouse -0.0038683714 0.005447693
## marital_status_married_spouse_absent 0.0320363574 -0.018552917
## marital_status_never_married 0.0388927072 0.030794378
## marital_status_separated 0.3736569885 -0.020945321
## marital_status_widowed -0.0036923705 0.034400962
## occupation_adm_clerical -0.0474030053 0.009183595
## occupation_armed_forces 0.2067482031 -0.104186606
## occupation_craft_repair -0.0623505664 0.070661232
## occupation_exec_managerial -0.0200717276 0.046912627
## occupation_farming_fishing 0.0399551939 -0.007226645
## occupation_handlers_cleaners -0.2287561275 -0.269746595
## occupation_machine_op_inspct 0.0493326668 0.179185761
## occupation_other_service -0.0125846837 0.079603741
## occupation_priv_house_serv 0.0691222041 0.181678714
## occupation_prof_specialty -0.0007396649 0.028561749
## occupation_protective_serv 0.0122189972 0.016667990
## occupation_sales 0.0765358077 -0.125024484
## occupation_tech_support 0.0568818949 -0.121571691
## occupation_transport_moving 0.1395598473 -0.072492399
## relationship_husband 0.0037430418 0.046263416
## relationship_not_in_family 0.0557174331 -0.012054969
## relationship_other_relative -0.2292986127 -0.262552407
## relationship_own_child 0.0154770921 0.088473977
## relationship_unmarried 0.0146298493 0.044133629
## relationship_wife 0.0132811965 -0.084275514
## race_amer_indian_eskimo 0.1208867813 0.218982575
## race_asian_pac_islander 0.0110563947 -0.021111219
## race_black -0.0261318499 -0.002594242
## race_other -0.0544080153 0.009239494
## race_white -0.0036134937 -0.051628482
## sex_female 0.0156546776 -0.007762281
## sex_male -0.0156546776 0.007762281
## native_country_cambodia 0.0099287847 -0.120294990
## native_country_canada 0.0340704015 -0.036057063
## native_country_china 0.0611456491 -0.103039467
## native_country_columbia -0.0026216006 0.045218626
## native_country_cuba 0.0161860817 -0.104469263
## native_country_dominican_republic -0.0391318946 -0.016402531
## native_country_ecuador -0.1326340848 -0.135551547
## native_country_el_salvador 0.0089605871 0.061213968
## native_country_england 0.0280891693 0.158639110
## native_country_france 0.0267475279 0.086312914
## native_country_germany 0.0339244619 -0.053562905
## native_country_greece 0.0490696037 -0.095204913
## native_country_guatemala 0.1036646857 0.092162209
## native_country_haiti -0.1647667400 -0.052346347
## native_country_holand_netherlands -0.1355375950 0.044099696
## native_country_honduras 0.0139352418 0.055893656
## native_country_hong 0.0154135425 -0.039550290
## native_country_hungary -0.0239443567 0.020671016
## native_country_india 0.0128374694 -0.051801745
## native_country_iran 0.0204660009 0.090952864
## native_country_ireland -0.0368437679 0.021021282
## native_country_italy -0.1369120588 0.160708649
## native_country_jamaica -0.0309222408 -0.011779563
## native_country_japan 0.0856913849 0.014558996
## native_country_laos 0.0607071532 0.203372661
## native_country_mexico 0.0160245349 0.007431491
## native_country_nicaragua -0.0392741168 -0.179698838
## native_country_outlying_us(guam_usvi_etc) -0.1556343234 -0.085634681
## native_country_peru 0.1218828721 -0.165540295
## native_country_philippines -0.0911642592 0.092843048
## native_country_poland 0.0640068430 -0.114030643
## native_country_portugal 0.0978675468 -0.052965863
## native_country_puerto_rico 0.0629635288 0.055920695
## native_country_scotland 0.0326785640 0.108029213
## native_country_south 0.0018894234 -0.104098963
## native_country_taiwan 0.0589115926 -0.055775823
## native_country_thailand 0.0017175200 0.123246928
## native_country_trinadad&tobago -0.1570702986 0.008341426
## native_country_united_states -0.0166455773 0.008774162
## native_country_vietnam -0.0104418865 -0.021513570
## native_country_yugoslavia -0.0165482665 0.153014990
## PC35 PC36
## l_capital_gain -0.0607443747 -0.079687739
## l_capital_loss 0.0616455831 -0.019135852
## age -0.0006742182 -0.008436397
## fnlwgt 0.0159399688 -0.096492955
## education_num -0.0056934286 0.004395033
## hours_per_week -0.0185015652 0.023026264
## workclass_federal_gov 0.0585739818 -0.029173015
## workclass_local_gov -0.0545245505 0.025370831
## workclass_private -0.0211129836 -0.003649344
## workclass_self_emp_inc 0.0035642638 0.039616433
## workclass_self_emp_not_inc 0.0103168270 -0.037828403
## workclass_state_gov 0.0499139466 0.017005025
## workclass_without_pay -0.0345935838 -0.005581912
## education_1st_4th 0.0229895650 -0.153296758
## education_5th_6th 0.0904095367 0.055206657
## education_7th_8th 0.0539175303 -0.126971783
## education_9th 0.1265586105 0.411185140
## education_10th -0.5063149872 0.174634335
## education_11th 0.1696996047 -0.321422351
## education_12th 0.1842831958 0.065684008
## education_assoc_acdm -0.2709862609 -0.020067670
## education_assoc_voc 0.1533591284 0.078674074
## education_bachelors -0.0151961299 0.040884257
## education_doctorate -0.0736669760 -0.074120348
## education_hs_grad 0.0328181345 -0.027106549
## education_masters 0.0913528215 0.103821998
## education_preschool -0.1671410068 0.004605328
## education_prof_school -0.0130480730 -0.079588045
## education_some_college -0.0001296617 -0.058342256
## marital_status_divorced 0.0177857035 -0.217133984
## marital_status_married_af_spouse -0.0168764829 -0.193962288
## marital_status_married_civ_spouse 0.0074805255 -0.012509173
## marital_status_married_spouse_absent 0.0834105582 0.116733016
## marital_status_never_married -0.0204027241 0.054882664
## marital_status_separated 0.0417063663 0.183144211
## marital_status_widowed -0.0984645024 0.098095186
## occupation_adm_clerical -0.0803613042 0.156581605
## occupation_armed_forces 0.1593332311 -0.091992955
## occupation_craft_repair -0.0178062991 0.036256517
## occupation_exec_managerial -0.0214445389 -0.028748089
## occupation_farming_fishing -0.0255435064 0.019395642
## occupation_handlers_cleaners -0.0819377320 -0.069254737
## occupation_machine_op_inspct 0.0155614721 -0.035756685
## occupation_other_service 0.0537709589 -0.148458239
## occupation_priv_house_serv 0.0402942774 0.008171297
## occupation_prof_specialty -0.0110350769 0.002148603
## occupation_protective_serv -0.0103948413 -0.083301947
## occupation_sales 0.0473129828 0.043057962
## occupation_tech_support 0.0980540102 -0.065375920
## occupation_transport_moving 0.0359750856 0.097483125
## relationship_husband 0.0034297167 0.013429305
## relationship_not_in_family 0.0399982032 -0.034814801
## relationship_other_relative -0.1489746086 -0.088770857
## relationship_own_child 0.0199113923 0.049335615
## relationship_unmarried -0.0177362428 0.070653406
## relationship_wife 0.0216823450 -0.073560257
## race_amer_indian_eskimo -0.1559669965 0.062566749
## race_asian_pac_islander 0.0160815582 0.003602875
## race_black 0.0486493174 -0.032643269
## race_other -0.0510446557 -0.007880276
## race_white 0.0082553373 0.010058096
## sex_female 0.0085097636 0.009894984
## sex_male -0.0085097636 -0.009894984
## native_country_cambodia -0.0534435382 -0.116100532
## native_country_canada 0.0709432017 -0.004342383
## native_country_china 0.1057438150 -0.027870024
## native_country_columbia -0.0421762515 0.256546667
## native_country_cuba 0.1407281461 0.055213812
## native_country_dominican_republic 0.1194781707 -0.075222324
## native_country_ecuador -0.2066222657 0.033390588
## native_country_el_salvador -0.0306280415 0.117249438
## native_country_england -0.1141967862 -0.114255360
## native_country_france -0.0383567262 -0.045452354
## native_country_germany -0.1275824071 -0.024248286
## native_country_greece -0.0640664285 0.020677096
## native_country_guatemala 0.0254778095 -0.113039861
## native_country_haiti -0.1152704250 -0.026061725
## native_country_holand_netherlands -0.0751900014 -0.087764907
## native_country_honduras 0.0486559720 -0.115492014
## native_country_hong -0.1011790017 0.063080885
## native_country_hungary -0.0086304305 -0.003873397
## native_country_india -0.0065374329 0.160499571
## native_country_iran -0.1601969554 -0.007939743
## native_country_ireland 0.0518521024 0.042413212
## native_country_italy 0.1044515827 -0.011323528
## native_country_jamaica 0.0195279927 -0.060679116
## native_country_japan 0.0040188269 -0.070728056
## native_country_laos 0.0187151184 0.106456889
## native_country_mexico 0.0152284955 0.019319200
## native_country_nicaragua -0.1597307460 -0.112641668
## native_country_outlying_us(guam_usvi_etc) 0.0084789174 0.131649790
## native_country_peru -0.0926962139 -0.162472220
## native_country_philippines 0.0187193355 -0.060277910
## native_country_poland 0.1508887905 0.092913442
## native_country_portugal -0.1100918391 0.065071524
## native_country_puerto_rico 0.0958316766 -0.048488525
## native_country_scotland 0.0225395555 -0.074464731
## native_country_south 0.0942289280 0.020251466
## native_country_taiwan -0.0251379195 0.026219382
## native_country_thailand 0.0049710840 -0.024168934
## native_country_trinadad&tobago 0.2118498029 0.192315333
## native_country_united_states 0.0119498215 -0.001094487
## native_country_vietnam -0.1180236193 -0.094289337
## native_country_yugoslavia -0.0916383425 0.019491526
## PC37 PC38
## l_capital_gain -0.0498042792 -0.0596808700
## l_capital_loss -0.0116546249 0.1159069645
## age -0.0008860384 0.0315916135
## fnlwgt -0.0425041886 0.1856523315
## education_num -0.0228226910 0.0099707014
## hours_per_week -0.0858899446 -0.0758551368
## workclass_federal_gov 0.0118113587 -0.0032436280
## workclass_local_gov -0.1295635922 -0.0087931816
## workclass_private -0.0472011378 -0.0084541959
## workclass_self_emp_inc -0.1087001882 -0.0234526903
## workclass_self_emp_not_inc 0.0865027609 0.0563631066
## workclass_state_gov 0.2614013183 -0.0225252356
## workclass_without_pay -0.2410734402 -0.0072923600
## education_1st_4th 0.0965631167 -0.0520627985
## education_5th_6th 0.0195284919 -0.0047426352
## education_7th_8th -0.2238997651 -0.1521427992
## education_9th -0.0103665603 0.0672201921
## education_10th 0.1350083956 0.0587533460
## education_11th 0.1832223378 -0.0689710456
## education_12th -0.1167185508 0.0095264348
## education_assoc_acdm -0.1585988950 -0.1345505196
## education_assoc_voc 0.0367220254 0.0749838464
## education_bachelors 0.0515241120 -0.0184030554
## education_doctorate -0.1920799447 0.0468625446
## education_hs_grad 0.0269716732 0.0498221141
## education_masters 0.1173382609 -0.1206382765
## education_preschool -0.0151472996 -0.0053305538
## education_prof_school 0.0061374121 0.1051269001
## education_some_college -0.0904023340 0.0481358401
## marital_status_divorced 0.1239948540 0.0216091383
## marital_status_married_af_spouse -0.1200265376 0.1076472043
## marital_status_married_civ_spouse 0.0282105081 0.0054628299
## marital_status_married_spouse_absent -0.0618860562 0.0479150443
## marital_status_never_married -0.0087660360 -0.0298021176
## marital_status_separated -0.2225077346 -0.1802026603
## marital_status_widowed -0.0255220032 0.1625949744
## occupation_adm_clerical 0.0290037208 -0.1327757422
## occupation_armed_forces -0.0340273838 0.0056652599
## occupation_craft_repair -0.0768700790 -0.0318867305
## occupation_exec_managerial -0.0126787319 0.0663346701
## occupation_farming_fishing -0.0421784812 -0.0291341441
## occupation_handlers_cleaners -0.1191943276 0.1736342186
## occupation_machine_op_inspct 0.1102831721 0.0735690443
## occupation_other_service -0.0563869686 0.0134205477
## occupation_priv_house_serv 0.0441423280 0.0318623073
## occupation_prof_specialty -0.0301860047 -0.0306868556
## occupation_protective_serv -0.0151408133 0.0825462485
## occupation_sales 0.0862185562 -0.0418198950
## occupation_tech_support 0.0722623927 0.0720870967
## occupation_transport_moving 0.0569427008 -0.1103939739
## relationship_husband 0.0367573143 -0.0080385827
## relationship_not_in_family -0.0191500651 0.0184078083
## relationship_other_relative -0.0364776325 -0.1673156420
## relationship_own_child 0.0209081640 0.0431156104
## relationship_unmarried -0.0148217790 -0.0111226570
## relationship_wife -0.0301789430 0.0596892992
## race_amer_indian_eskimo -0.1156363674 0.1062618848
## race_asian_pac_islander -0.0122354616 0.0010334580
## race_black 0.0478113733 -0.0119363017
## race_other -0.0037594024 0.0587900981
## race_white -0.0007347908 -0.0353132969
## sex_female 0.0073604690 -0.0021398113
## sex_male -0.0073604690 0.0021398113
## native_country_cambodia -0.0155255454 -0.0569865942
## native_country_canada -0.1212531493 -0.0089337952
## native_country_china -0.1067556678 -0.0263712345
## native_country_columbia -0.0233715921 0.2832436441
## native_country_cuba -0.0869725749 0.0699025617
## native_country_dominican_republic -0.0564047027 0.0172173641
## native_country_ecuador 0.0503455549 -0.1013854293
## native_country_el_salvador -0.0118265299 -0.2081568187
## native_country_england 0.1563339620 0.2214508443
## native_country_france -0.0564293795 -0.0142151262
## native_country_germany 0.0763367954 0.0056582993
## native_country_greece 0.0678464842 -0.0725423397
## native_country_guatemala 0.0096067556 -0.0635240945
## native_country_haiti 0.1057232361 -0.0283512239
## native_country_holand_netherlands 0.0115341384 -0.0808433995
## native_country_honduras 0.1243794710 0.0035942131
## native_country_hong -0.1595844588 -0.0715677988
## native_country_hungary 0.1135402989 0.1492148820
## native_country_india 0.3715148795 0.0077906546
## native_country_iran -0.0386301843 0.0064939811
## native_country_ireland -0.0223200972 -0.1700618357
## native_country_italy -0.0138007589 -0.2206504773
## native_country_jamaica 0.0111156888 -0.2078934881
## native_country_japan 0.0978616154 0.1514335005
## native_country_laos -0.0264066419 0.1303327336
## native_country_mexico 0.0172697335 0.0952023198
## native_country_nicaragua 0.0166709084 0.0748963657
## native_country_outlying_us(guam_usvi_etc) -0.0172721816 0.1068566746
## native_country_peru -0.1032702003 0.1993725633
## native_country_philippines -0.1369766461 -0.0354933999
## native_country_poland -0.0477810021 0.0728900330
## native_country_portugal 0.1001410322 -0.2912282492
## native_country_puerto_rico -0.0799407458 -0.0328790019
## native_country_scotland 0.1199991422 -0.1757753502
## native_country_south 0.0244529979 0.1027811141
## native_country_taiwan -0.1958439332 0.0020933045
## native_country_thailand -0.1348846652 0.0431752088
## native_country_trinadad&tobago 0.0984015738 -0.0258856479
## native_country_united_states -0.0326239653 0.0001604338
## native_country_vietnam 0.1302573513 -0.1326083743
## native_country_yugoslavia 0.0489054701 0.1136222416
## PC39 PC40
## l_capital_gain 0.0905366741 0.03409985383
## l_capital_loss -0.0453582243 -0.06646465449
## age -0.0029388624 0.00122157507
## fnlwgt 0.0678385984 0.03407162254
## education_num 0.0090364987 0.01480839866
## hours_per_week 0.0029814862 0.02474172691
## workclass_federal_gov 0.0280388188 -0.03658228886
## workclass_local_gov 0.0978186793 -0.05792872916
## workclass_private -0.0050996273 0.02385845879
## workclass_self_emp_inc 0.0207016094 -0.08000281936
## workclass_self_emp_not_inc 0.0021872269 0.05477464459
## workclass_state_gov -0.1502293208 0.07487307089
## workclass_without_pay -0.0619758603 -0.22850270113
## education_1st_4th 0.0100683437 0.05610926810
## education_5th_6th 0.0133469944 -0.08479447798
## education_7th_8th -0.0466767684 -0.05935709386
## education_9th 0.1166241107 0.02108457235
## education_10th 0.0054167987 -0.12764415071
## education_11th 0.1123125818 0.19852627053
## education_12th -0.1661650688 0.15302602445
## education_assoc_acdm -0.0092669627 0.15324396468
## education_assoc_voc 0.0583759017 0.01545800556
## education_bachelors 0.0144622152 -0.03539616620
## education_doctorate 0.1146087994 0.02192729539
## education_hs_grad -0.0280188983 -0.07628292373
## education_masters -0.0496472414 -0.04557949259
## education_preschool -0.1946101885 0.00723099018
## education_prof_school -0.0567979661 0.02056190982
## education_some_college -0.0035165551 -0.00016369347
## marital_status_divorced 0.0148657069 -0.09526130824
## marital_status_married_af_spouse -0.1423073583 0.00997152844
## marital_status_married_civ_spouse 0.0019021322 0.00483379842
## marital_status_married_spouse_absent 0.1422321233 -0.00276419585
## marital_status_never_married 0.0330315401 -0.00896833158
## marital_status_separated -0.2323842324 0.14412318778
## marital_status_widowed 0.0424366965 0.05881284156
## occupation_adm_clerical 0.0390757173 0.05130169986
## occupation_armed_forces 0.0377597493 0.00009706294
## occupation_craft_repair 0.0015832533 -0.05996552445
## occupation_exec_managerial 0.0054481720 0.08386407313
## occupation_farming_fishing 0.0127226298 0.00994110782
## occupation_handlers_cleaners -0.2037880269 -0.04837949657
## occupation_machine_op_inspct 0.1044933800 0.05757978101
## occupation_other_service 0.0503543929 0.00770791131
## occupation_priv_house_serv -0.0664441206 -0.05119665680
## occupation_prof_specialty 0.0158394356 -0.03094819889
## occupation_protective_serv -0.0379505455 0.05793613705
## occupation_sales -0.0530537656 -0.05151167744
## occupation_tech_support -0.0762498585 -0.16811330577
## occupation_transport_moving 0.0826697735 0.08417420076
## relationship_husband 0.0102176984 -0.00434808267
## relationship_not_in_family -0.0477433661 0.03731088698
## relationship_other_relative 0.1370783766 0.12601516208
## relationship_own_child 0.0020878785 -0.07376336143
## relationship_unmarried 0.0064925325 -0.03872472477
## relationship_wife -0.0484597812 0.01124804955
## race_amer_indian_eskimo -0.0871380724 0.14271860064
## race_asian_pac_islander 0.0061301738 0.00179763371
## race_black 0.0144955272 -0.03864994472
## race_other -0.0186383132 -0.07742282558
## race_white 0.0141325867 0.01106069867
## sex_female 0.0190183554 -0.00017975246
## sex_male -0.0190183554 0.00017975246
## native_country_cambodia -0.0260833178 0.20482954340
## native_country_canada 0.1394182579 -0.19274099942
## native_country_china 0.0250740192 -0.03147111670
## native_country_columbia 0.0004353111 0.19121704898
## native_country_cuba -0.0598486061 0.25252288589
## native_country_dominican_republic -0.0757572328 -0.05885345389
## native_country_ecuador 0.0199404106 -0.10834579380
## native_country_el_salvador -0.0302325566 -0.11014362093
## native_country_england -0.1370545528 -0.03039956168
## native_country_france 0.0037079656 -0.24427918127
## native_country_germany 0.0029268737 0.14700533813
## native_country_greece -0.0032710382 -0.20448557639
## native_country_guatemala -0.0794497372 -0.09810510911
## native_country_haiti -0.0968580091 -0.06941354724
## native_country_holand_netherlands 0.2142644927 0.15278573746
## native_country_honduras -0.0946964635 -0.05804063978
## native_country_hong -0.2298142225 0.22143832321
## native_country_hungary 0.0336408481 0.05530416006
## native_country_india -0.1229761333 0.06818986593
## native_country_iran 0.0722271644 -0.01227595745
## native_country_ireland 0.0607416377 0.07658469091
## native_country_italy -0.2873491112 -0.00559665182
## native_country_jamaica 0.1268170872 0.00822728161
## native_country_japan -0.1093320123 -0.11005091280
## native_country_laos 0.0514013629 -0.04925601559
## native_country_mexico 0.0848028650 0.01875745375
## native_country_nicaragua -0.0826119937 0.08353897075
## native_country_outlying_us(guam_usvi_etc) -0.0760774149 0.07122581902
## native_country_peru -0.0058041377 -0.06212009571
## native_country_philippines -0.1223948730 -0.14675155059
## native_country_poland 0.1432135785 0.04811910214
## native_country_portugal -0.1105548613 -0.06514899675
## native_country_puerto_rico 0.0652891566 0.04604920908
## native_country_scotland -0.1572899144 0.23495774870
## native_country_south -0.0483616065 0.07916318875
## native_country_taiwan 0.1401752808 -0.09527573087
## native_country_thailand 0.1483911349 0.20942821006
## native_country_trinadad&tobago 0.0529396579 -0.16686443452
## native_country_united_states 0.0189256125 0.00246976786
## native_country_vietnam 0.3774005121 0.01962576415
## native_country_yugoslavia 0.1489414237 0.05797805117
## PC41 PC42
## l_capital_gain 0.0391907074 0.05837596313
## l_capital_loss -0.0247537020 -0.01509754714
## age 0.0311665520 -0.00520607600
## fnlwgt -0.0561643675 0.00271196986
## education_num 0.0002750081 -0.01040850067
## hours_per_week 0.0180971676 0.00666340473
## workclass_federal_gov 0.0257252236 -0.02627623716
## workclass_local_gov 0.0372201025 0.03882627119
## workclass_private -0.0202002957 -0.05247321758
## workclass_self_emp_inc -0.0144229532 0.03024832022
## workclass_self_emp_not_inc 0.0265514074 0.06320600997
## workclass_state_gov -0.0568736298 -0.00398279900
## workclass_without_pay 0.0885756441 -0.20973224844
## education_1st_4th 0.0381794863 0.03690065224
## education_5th_6th 0.0191441615 -0.00747234782
## education_7th_8th -0.2166074967 0.03061632940
## education_9th 0.0257293487 -0.02109248787
## education_10th 0.0563367853 -0.06925966085
## education_11th 0.0981644364 0.00973338376
## education_12th 0.0477325360 -0.02989102332
## education_assoc_acdm -0.0210144037 0.04146798577
## education_assoc_voc 0.0952261303 -0.10619140204
## education_bachelors -0.0668421771 0.02756047411
## education_doctorate 0.0785083163 -0.01151402277
## education_hs_grad -0.0342271198 0.01171514114
## education_masters 0.0475691018 -0.05099920479
## education_preschool 0.0361587305 0.05767129259
## education_prof_school -0.0854568673 0.01644294467
## education_some_college 0.0101272155 0.03940669160
## marital_status_divorced -0.0583524199 -0.04520050204
## marital_status_married_af_spouse 0.2970021614 -0.13332042683
## marital_status_married_civ_spouse -0.0267645910 0.00126474867
## marital_status_married_spouse_absent -0.0004906544 0.01505046615
## marital_status_never_married -0.0107958291 0.01141758654
## marital_status_separated 0.1148932403 0.10377455872
## marital_status_widowed 0.0650783317 -0.03906042937
## occupation_adm_clerical -0.0183816489 -0.02260811275
## occupation_armed_forces -0.0151647337 -0.15908799777
## occupation_craft_repair -0.0197828803 -0.03038749224
## occupation_exec_managerial 0.0172805323 0.01717057703
## occupation_farming_fishing 0.0073305442 -0.08895664804
## occupation_handlers_cleaners 0.0664840660 0.11516206850
## occupation_machine_op_inspct 0.0606037749 0.02142407593
## occupation_other_service -0.0642099999 -0.04040364619
## occupation_priv_house_serv -0.0116386428 -0.02767990863
## occupation_prof_specialty -0.0354722927 0.00005476513
## occupation_protective_serv 0.0217995387 -0.08440085554
## occupation_sales 0.0149641540 -0.07287705580
## occupation_tech_support -0.0349423833 0.17724496909
## occupation_transport_moving 0.0351959847 0.09397401419
## relationship_husband -0.0229007405 -0.01852389110
## relationship_not_in_family 0.0357358716 0.02051461489
## relationship_other_relative -0.0383271972 -0.02552631650
## relationship_own_child 0.0035199705 -0.00605075206
## relationship_unmarried -0.0159867899 -0.00541300424
## relationship_wife 0.0277056622 0.03944298207
## race_amer_indian_eskimo -0.1954279287 0.04918718883
## race_asian_pac_islander 0.0165880126 0.00499403047
## race_black 0.0286615748 -0.01686801731
## race_other 0.0040566626 -0.01518963102
## race_white 0.0219167177 0.00176269873
## sex_female -0.0185107466 0.00446027753
## sex_male 0.0185107466 -0.00446027753
## native_country_cambodia 0.0539147538 -0.06849226547
## native_country_canada 0.0715253743 -0.00438660681
## native_country_china -0.1758883780 0.06063266621
## native_country_columbia -0.0053469629 0.15791273452
## native_country_cuba -0.0268734674 -0.16113204994
## native_country_dominican_republic 0.1785933812 0.20771599205
## native_country_ecuador -0.0166790035 -0.23951338064
## native_country_el_salvador 0.0411033638 0.12884804917
## native_country_england 0.2654623464 -0.15474663282
## native_country_france -0.2021291267 0.15465280433
## native_country_germany -0.1501872811 -0.08857284377
## native_country_greece 0.0330648650 -0.04398220538
## native_country_guatemala -0.0986477445 -0.12610388727
## native_country_haiti -0.0159739761 -0.02576893450
## native_country_holand_netherlands -0.0291818201 -0.05486690270
## native_country_honduras 0.1362948212 0.13644478610
## native_country_hong -0.1655123567 0.02273004413
## native_country_hungary -0.0330014384 0.23223750689
## native_country_india -0.0196472121 -0.14464220139
## native_country_iran 0.3203540549 0.01611655203
## native_country_ireland -0.0231608213 -0.08148433493
## native_country_italy -0.0053428772 0.23765038817
## native_country_jamaica 0.0409536069 -0.02754973851
## native_country_japan -0.2492510394 -0.06613219068
## native_country_laos 0.1183656373 0.10726444642
## native_country_mexico -0.0526977627 -0.09371665344
## native_country_nicaragua 0.0780144757 0.29998813259
## native_country_outlying_us(guam_usvi_etc) 0.1304733431 0.05364459726
## native_country_peru -0.3261246709 -0.01949395226
## native_country_philippines 0.2055990493 -0.11894436070
## native_country_poland 0.1002836372 0.07509163058
## native_country_portugal -0.0712018387 0.04530953216
## native_country_puerto_rico -0.0410429604 0.01780456827
## native_country_scotland 0.0799171613 -0.17563246743
## native_country_south -0.1255944494 0.14011865438
## native_country_taiwan 0.1073864298 -0.08509458966
## native_country_thailand -0.0400238863 -0.19639115743
## native_country_trinadad&tobago -0.0839992270 -0.09138266567
## native_country_united_states -0.0009164817 0.00551033475
## native_country_vietnam 0.0903541820 0.33432885497
## native_country_yugoslavia -0.1405248113 -0.03774521097
## PC43 PC44
## l_capital_gain -0.1077163780 -0.02973410015
## l_capital_loss -0.0203769677 0.01679774371
## age -0.0157856567 0.01948047967
## fnlwgt -0.0032916495 0.02458904476
## education_num 0.0186832518 0.01178682860
## hours_per_week 0.0334655031 -0.05387227848
## workclass_federal_gov 0.0074254538 -0.00606050491
## workclass_local_gov -0.0195711546 -0.04773888306
## workclass_private -0.0023321893 -0.01224343269
## workclass_self_emp_inc -0.0012111626 -0.02063765776
## workclass_self_emp_not_inc 0.0104549789 0.02630112586
## workclass_state_gov 0.0353001381 0.06099516299
## workclass_without_pay -0.2391245466 0.12543416535
## education_1st_4th 0.0124568769 0.03585877779
## education_5th_6th 0.0179755918 0.02222837736
## education_7th_8th 0.0681747961 0.06739926655
## education_9th -0.0419161282 -0.03694260326
## education_10th -0.0699540064 -0.07434267990
## education_11th -0.0210120264 0.01202655068
## education_12th -0.0785516766 -0.10218379060
## education_assoc_acdm 0.0121851765 0.01550712515
## education_assoc_voc 0.0585312681 0.05502803511
## education_bachelors 0.0160537424 0.02034303988
## education_doctorate -0.0190647917 -0.01241670490
## education_hs_grad 0.0013395223 0.01409618964
## education_masters -0.0141145411 -0.00983033122
## education_preschool -0.0003496083 -0.01443013736
## education_prof_school 0.0203495868 0.01799510563
## education_some_college -0.0016143069 -0.03459398587
## marital_status_divorced 0.0066531906 0.07548928230
## marital_status_married_af_spouse 0.1116487309 -0.11346402225
## marital_status_married_civ_spouse -0.0018394898 0.00170090672
## marital_status_married_spouse_absent -0.0335968515 -0.02418997821
## marital_status_never_married 0.0077431067 -0.00173103908
## marital_status_separated -0.0593975518 -0.06810786500
## marital_status_widowed 0.0364684903 -0.05227138885
## occupation_adm_clerical 0.0132485693 0.01166593437
## occupation_armed_forces -0.0164299530 -0.03950249030
## occupation_craft_repair -0.0304208918 0.00599042861
## occupation_exec_managerial -0.0148932181 0.01379170765
## occupation_farming_fishing -0.0424965306 -0.06876641291
## occupation_handlers_cleaners 0.0353307330 -0.01587085019
## occupation_machine_op_inspct 0.0133603375 0.01806938234
## occupation_other_service 0.0345785917 0.00626821628
## occupation_priv_house_serv 0.0137434137 0.00693728233
## occupation_prof_specialty 0.0241485887 0.00445349966
## occupation_protective_serv -0.0193524958 -0.02448360737
## occupation_sales -0.0303675526 -0.00314078435
## occupation_tech_support -0.0359495746 -0.03138375062
## occupation_transport_moving 0.0332645056 0.03325374881
## relationship_husband 0.0092585888 0.00231293219
## relationship_not_in_family -0.0191362345 -0.01117262561
## relationship_other_relative -0.0061834247 0.00905575146
## relationship_own_child 0.0024676404 0.04240491186
## relationship_unmarried 0.0184236014 -0.02932585889
## relationship_wife -0.0079367282 -0.01789856804
## race_amer_indian_eskimo -0.0349195562 0.10750914413
## race_asian_pac_islander -0.0004672783 -0.01422946442
## race_black 0.0093878352 0.00153870646
## race_other 0.0090763287 0.00808378188
## race_white -0.0001306886 -0.02674411522
## sex_female -0.0059995672 -0.00230458858
## sex_male 0.0059995672 0.00230458858
## native_country_cambodia -0.1097547122 -0.11057031609
## native_country_canada 0.0950592830 0.06416512990
## native_country_china -0.1327241755 0.04660389506
## native_country_columbia -0.1278217490 -0.15920264796
## native_country_cuba -0.1537064406 0.42274786696
## native_country_dominican_republic -0.1111115809 0.07912969506
## native_country_ecuador 0.0300924748 0.09872291917
## native_country_el_salvador -0.0188765292 0.15458007825
## native_country_england -0.3283084929 -0.17923609619
## native_country_france 0.0098408453 -0.22786722009
## native_country_germany -0.1189847237 -0.09041217359
## native_country_greece 0.0515219146 0.01249055966
## native_country_guatemala 0.1092261322 -0.02022147594
## native_country_haiti 0.1327034465 -0.12195940580
## native_country_holand_netherlands -0.0554122189 0.03835261804
## native_country_honduras -0.1968387826 0.05602537039
## native_country_hong -0.2238940383 0.08154289732
## native_country_hungary -0.0929894674 0.27988598002
## native_country_india 0.0360236625 -0.03884718819
## native_country_iran 0.2342015132 0.23330882451
## native_country_ireland -0.1078943634 -0.10313977824
## native_country_italy 0.0703216506 -0.19916859956
## native_country_jamaica -0.0586837475 0.14236546648
## native_country_japan 0.0412833076 -0.01959024880
## native_country_laos 0.2299994066 0.17573703789
## native_country_mexico 0.0152913942 -0.03709965975
## native_country_nicaragua 0.1671444370 -0.01679867758
## native_country_outlying_us(guam_usvi_etc) 0.2777890754 -0.02212889669
## native_country_peru 0.0615293725 0.03001177068
## native_country_philippines -0.0386669742 0.10327131329
## native_country_poland 0.1069304159 0.01877575585
## native_country_portugal 0.1724610902 0.13829506897
## native_country_puerto_rico -0.0088302956 -0.25150604590
## native_country_scotland 0.1442511931 -0.01063293273
## native_country_south 0.1776449266 0.03867346613
## native_country_taiwan -0.0193240909 -0.06873689500
## native_country_thailand 0.3637502431 -0.27491229342
## native_country_trinadad&tobago -0.1221272400 -0.16275944246
## native_country_united_states 0.0051070134 0.00004837186
## native_country_vietnam -0.2071114279 -0.16110327510
## native_country_yugoslavia -0.0041796536 0.20364410263
## PC45 PC46
## l_capital_gain -0.02559581257 -0.0021984369
## l_capital_loss -0.06086313483 0.0193248988
## age -0.00556931454 -0.0270466860
## fnlwgt 0.01190375841 0.0206041462
## education_num 0.00071173967 -0.0017577301
## hours_per_week -0.00674055104 0.0242083924
## workclass_federal_gov -0.01111651703 -0.0063705702
## workclass_local_gov -0.01742281991 -0.0063177511
## workclass_private -0.00058038044 -0.0041053500
## workclass_self_emp_inc 0.02987447395 -0.0148569996
## workclass_self_emp_not_inc -0.01720606835 -0.0017455029
## workclass_state_gov 0.03339839847 0.0381805014
## workclass_without_pay -0.04704221795 0.0013502436
## education_1st_4th 0.00645038192 0.0081020101
## education_5th_6th -0.00254245945 0.0147251599
## education_7th_8th 0.00420918258 0.0428252344
## education_9th -0.00875588380 -0.0133077028
## education_10th -0.00457573784 -0.0317821144
## education_11th 0.03803384082 -0.0072951294
## education_12th 0.01871672618 -0.0158719560
## education_assoc_acdm -0.00594644233 -0.0085694470
## education_assoc_voc -0.07858328572 -0.0267855104
## education_bachelors 0.03407443791 -0.0020037864
## education_doctorate -0.03106516452 -0.0374566459
## education_hs_grad -0.01679349994 0.0059488337
## education_masters 0.01906245469 0.0359988680
## education_preschool -0.01125838926 -0.0283439090
## education_prof_school -0.00757300316 0.0048760689
## education_some_college 0.01101428528 0.0083023898
## marital_status_divorced 0.00655793566 0.0059842012
## marital_status_married_af_spouse 0.08013020506 0.1790292837
## marital_status_married_civ_spouse -0.00897586159 -0.0196146967
## marital_status_married_spouse_absent 0.00156661936 -0.0093839094
## marital_status_never_married 0.00475582078 0.0102700420
## marital_status_separated -0.01324861181 -0.0163657893
## marital_status_widowed -0.00009696453 0.0122285554
## occupation_adm_clerical -0.01991342329 -0.0318567007
## occupation_armed_forces 0.00942064196 -0.0307086123
## occupation_craft_repair 0.04730729029 0.0233774693
## occupation_exec_managerial 0.01055172593 0.0040013483
## occupation_farming_fishing -0.01210482852 -0.0336466844
## occupation_handlers_cleaners -0.10342378873 -0.0556972443
## occupation_machine_op_inspct 0.01852177939 0.0086608050
## occupation_other_service -0.01621479477 -0.0111580326
## occupation_priv_house_serv -0.00294913861 -0.0038009212
## occupation_prof_specialty 0.00052617201 0.0161045304
## occupation_protective_serv -0.01983283641 -0.0362105804
## occupation_sales -0.02938944918 -0.0130490296
## occupation_tech_support 0.04483785836 0.0057460759
## occupation_transport_moving 0.06989490740 0.1081669201
## relationship_husband -0.00837425033 -0.0080817676
## relationship_not_in_family -0.01361688899 -0.0116475562
## relationship_other_relative 0.00934880626 -0.0150989401
## relationship_own_child 0.00770299806 0.0188942300
## relationship_unmarried 0.01614568620 0.0201048222
## relationship_wife 0.00383040362 -0.0058034656
## race_amer_indian_eskimo 0.07031719635 -0.0016003160
## race_asian_pac_islander -0.00580117771 -0.0001934598
## race_black -0.00901719543 0.0055527478
## race_other -0.01844620634 -0.0133467301
## race_white -0.00474277780 -0.0007308381
## sex_female -0.00089512565 -0.0013711044
## sex_male 0.00089512565 0.0013711044
## native_country_cambodia 0.20500229502 0.2403869095
## native_country_canada 0.16890854168 -0.4349897832
## native_country_china -0.29450566726 -0.0049597955
## native_country_columbia 0.03036268403 -0.0178002282
## native_country_cuba 0.07744291310 -0.1367081481
## native_country_dominican_republic -0.09255931375 -0.0429985082
## native_country_ecuador 0.14138564204 -0.1079947557
## native_country_el_salvador -0.15294091620 0.0684357813
## native_country_england -0.05624973449 -0.1132893001
## native_country_france 0.36109285113 0.0440581898
## native_country_germany -0.31552591719 0.3953076749
## native_country_greece -0.10524757723 0.1605144986
## native_country_guatemala -0.16695615890 -0.0630289478
## native_country_haiti 0.12369691649 -0.0599139989
## native_country_holand_netherlands -0.13523638867 0.1218053616
## native_country_honduras 0.12827504687 0.0705892294
## native_country_hong 0.07984537486 -0.1707776083
## native_country_hungary 0.27607494815 0.1870977748
## native_country_india 0.01453307534 -0.0859983264
## native_country_iran -0.15540032954 0.1899061112
## native_country_ireland -0.04217556106 -0.0825574138
## native_country_italy -0.08237697509 0.0250928203
## native_country_jamaica -0.11016634300 -0.0444406735
## native_country_japan -0.20237878650 -0.2063701169
## native_country_laos -0.10539718547 -0.0460488081
## native_country_mexico 0.07553412126 0.0250542530
## native_country_nicaragua 0.08308416302 -0.0761614939
## native_country_outlying_us(guam_usvi_etc) -0.22008522581 -0.0471368066
## native_country_peru -0.02285104033 -0.0073702800
## native_country_philippines 0.12537569202 0.1292920557
## native_country_poland 0.10808975724 0.0135308526
## native_country_portugal 0.11828058608 0.0857526861
## native_country_puerto_rico -0.03098851765 0.1230031722
## native_country_scotland 0.17228267751 -0.2260646221
## native_country_south 0.02822575673 0.1270564876
## native_country_taiwan 0.23935276201 0.1443372028
## native_country_thailand 0.03371003917 -0.0496042921
## native_country_trinadad&tobago 0.09875389282 0.1839715311
## native_country_united_states -0.00537315616 -0.0062883714
## native_country_vietnam -0.08755014887 -0.2858966185
## native_country_yugoslavia 0.12523819430 0.0930950266
## PC47 PC48
## l_capital_gain -0.0272476816 -0.0173569882
## l_capital_loss 0.0079328482 0.0010945813
## age -0.0056893517 0.0090865558
## fnlwgt -0.0110891756 -0.0120840956
## education_num -0.0012964148 0.0053878715
## hours_per_week 0.0220274938 -0.0178014538
## workclass_federal_gov 0.0057656102 -0.0009031247
## workclass_local_gov 0.0075077289 -0.0052749252
## workclass_private 0.0106196158 0.0073267477
## workclass_self_emp_inc -0.0321091551 0.0189635580
## workclass_self_emp_not_inc 0.0204065301 0.0112647023
## workclass_state_gov -0.0152763426 -0.0309492383
## workclass_without_pay -0.1912939137 -0.0989851567
## education_1st_4th -0.0302605189 0.0076348661
## education_5th_6th 0.0132188408 -0.0007941764
## education_7th_8th 0.0786246251 -0.0232608492
## education_9th 0.0097680826 -0.0093074875
## education_10th -0.0262051532 0.0088501856
## education_11th -0.0407032905 0.0047826180
## education_12th -0.0076087711 -0.0139879670
## education_assoc_acdm -0.0074078203 -0.0237590051
## education_assoc_voc 0.0063451132 0.0166411532
## education_bachelors 0.0073455747 0.0008380889
## education_doctorate 0.0285151937 0.0290631273
## education_hs_grad -0.0001342573 0.0056451271
## education_masters -0.0369702327 -0.0164748163
## education_preschool 0.0033988016 0.0071077283
## education_prof_school 0.0399089811 0.0060146887
## education_some_college -0.0020565826 0.0011677798
## marital_status_divorced 0.0106989263 0.0029172226
## marital_status_married_af_spouse 0.1001546255 0.0880893807
## marital_status_married_civ_spouse -0.0090189493 0.0001414099
## marital_status_married_spouse_absent 0.0133941527 0.0000751121
## marital_status_never_married 0.0024844024 -0.0049475793
## marital_status_separated -0.0177136212 -0.0085911854
## marital_status_widowed -0.0085788750 0.0022682117
## occupation_adm_clerical 0.0045758891 0.0189930070
## occupation_armed_forces -0.0211767814 -0.0520811099
## occupation_craft_repair 0.0171576600 -0.0002699998
## occupation_exec_managerial 0.0228185737 -0.0207836089
## occupation_farming_fishing -0.0084678479 0.0045814416
## occupation_handlers_cleaners 0.0140484478 0.0081211939
## occupation_machine_op_inspct -0.0346540380 0.0042097950
## occupation_other_service -0.0066331628 0.0208769939
## occupation_priv_house_serv -0.0149881091 0.0061042559
## occupation_prof_specialty 0.0024180456 -0.0068121482
## occupation_protective_serv 0.0255211170 0.0224508615
## occupation_sales -0.0187505638 0.0025104212
## occupation_tech_support 0.0154640110 0.0146365563
## occupation_transport_moving -0.0251491917 -0.0585734340
## relationship_husband -0.0020875227 0.0086384121
## relationship_not_in_family -0.0315335787 0.0107379610
## relationship_other_relative 0.0234252030 -0.0054437421
## relationship_own_child 0.0241609045 -0.0046706992
## relationship_unmarried 0.0118712385 -0.0171692733
## relationship_wife -0.0063975646 -0.0052156490
## race_amer_indian_eskimo -0.0337858818 0.0304073439
## race_asian_pac_islander 0.0018029746 -0.0050076225
## race_black 0.0035188780 -0.0015610363
## race_other 0.0021589151 0.0093055419
## race_white 0.0051386815 -0.0071953635
## sex_female 0.0031137104 -0.0055730729
## sex_male -0.0031137104 0.0055730729
## native_country_cambodia -0.0364885208 -0.3625947581
## native_country_canada -0.2342172669 -0.3220054460
## native_country_china 0.0370490784 0.0574119219
## native_country_columbia -0.0782863978 0.0233164898
## native_country_cuba 0.2574920206 0.3309279477
## native_country_dominican_republic -0.1141892408 -0.0434585906
## native_country_ecuador 0.0983368195 0.0112025434
## native_country_el_salvador 0.1177180912 -0.1117240018
## native_country_england 0.3672914146 -0.1325528214
## native_country_france 0.2696957823 0.1152128647
## native_country_germany -0.1926166419 0.0482071134
## native_country_greece 0.0015609979 0.0613343767
## native_country_guatemala -0.1457429813 0.0799008977
## native_country_haiti -0.0626418752 0.3167252921
## native_country_holand_netherlands 0.1241988408 -0.0501419180
## native_country_honduras -0.1874376100 -0.0780021474
## native_country_hong -0.1373827100 -0.0666008515
## native_country_hungary -0.1676337648 0.1080026048
## native_country_india 0.0548700105 -0.1494130977
## native_country_iran -0.2293577392 0.1895865072
## native_country_ireland -0.0462184656 0.3115949070
## native_country_italy 0.0082094028 -0.0701352114
## native_country_jamaica 0.1765151205 -0.2347845504
## native_country_japan -0.2005830574 0.1220406765
## native_country_laos 0.2750869623 0.0025658208
## native_country_mexico -0.0123355239 -0.0042578626
## native_country_nicaragua -0.1157957965 0.0199609614
## native_country_outlying_us(guam_usvi_etc) 0.0393472488 -0.1822733152
## native_country_peru 0.0257561082 -0.1430750305
## native_country_philippines -0.0771346798 0.0161284303
## native_country_poland -0.0236260989 0.0125105948
## native_country_portugal 0.1377456819 -0.0440024705
## native_country_puerto_rico 0.1719748591 0.0560393535
## native_country_scotland -0.1014763791 0.1253792639
## native_country_south 0.1834799914 -0.0547314733
## native_country_taiwan 0.0311357698 0.1720237422
## native_country_thailand -0.1349419171 -0.0916272264
## native_country_trinadad&tobago -0.2231059344 0.0199621737
## native_country_united_states 0.0053947240 0.0019628649
## native_country_vietnam -0.0104828060 0.1431288263
## native_country_yugoslavia -0.0661516987 -0.2608199881
## PC49 PC50
## l_capital_gain -0.0048212240 -0.0148022631
## l_capital_loss -0.0087634938 0.0005997085
## age 0.0023832036 0.0040243808
## fnlwgt 0.0135945159 -0.0043560875
## education_num -0.0093120362 0.0011319491
## hours_per_week 0.0160161972 0.0030276202
## workclass_federal_gov -0.0015603199 0.0018233537
## workclass_local_gov 0.0239695993 -0.0051676765
## workclass_private 0.0019517216 0.0084921839
## workclass_self_emp_inc 0.0074652305 0.0082785852
## workclass_self_emp_not_inc -0.0071660553 0.0006915597
## workclass_state_gov -0.0208568377 -0.0260902308
## workclass_without_pay -0.0846747564 0.0371640816
## education_1st_4th -0.0200730016 0.0047811958
## education_5th_6th -0.0096966608 -0.0035487849
## education_7th_8th -0.0225193695 -0.0115569498
## education_9th 0.0200513982 0.0041171642
## education_10th 0.0448309995 0.0032407123
## education_11th 0.0231510781 -0.0117576855
## education_12th 0.0160272347 -0.0025345561
## education_assoc_acdm -0.0116103388 -0.0082708627
## education_assoc_voc -0.0468990803 -0.0213788474
## education_bachelors 0.0025226674 0.0014409125
## education_doctorate 0.0236981391 -0.0114825047
## education_hs_grad -0.0077583208 -0.0020685771
## education_masters -0.0037574322 0.0050956095
## education_preschool -0.0010012885 0.0045140876
## education_prof_school -0.0110206671 0.0007759990
## education_some_college 0.0088383063 0.0219545020
## marital_status_divorced -0.0052789409 -0.0173754439
## marital_status_married_af_spouse 0.1362803050 -0.1101551858
## marital_status_married_civ_spouse -0.0036557829 0.0092202455
## marital_status_married_spouse_absent 0.0195881498 0.0060263530
## marital_status_never_married -0.0084400458 0.0031558387
## marital_status_separated -0.0106610768 0.0204868196
## marital_status_widowed 0.0221909946 -0.0081716898
## occupation_adm_clerical 0.0350678862 0.0086527484
## occupation_armed_forces -0.0127493549 0.0543381439
## occupation_craft_repair 0.0283306989 0.0150837997
## occupation_exec_managerial -0.0044966957 0.0046962185
## occupation_farming_fishing -0.0184526357 0.0052118661
## occupation_handlers_cleaners -0.0345381740 0.0035654139
## occupation_machine_op_inspct -0.0012770302 -0.0122061054
## occupation_other_service 0.0146417217 -0.0108408771
## occupation_priv_house_serv -0.0024755222 0.0088849963
## occupation_prof_specialty -0.0125908762 0.0140607399
## occupation_protective_serv 0.0167229269 -0.0117290087
## occupation_sales 0.0069312806 -0.0247587760
## occupation_tech_support -0.0177607859 -0.0151236412
## occupation_transport_moving -0.0464564104 0.0052492934
## relationship_husband 0.0112522140 0.0028338085
## relationship_not_in_family 0.0062969545 -0.0087614573
## relationship_other_relative 0.0061783322 -0.0132178299
## relationship_own_child -0.0032080526 0.0030574425
## relationship_unmarried -0.0104437009 0.0089841466
## relationship_wife -0.0238135863 0.0040244608
## race_amer_indian_eskimo 0.0070804416 0.0032180401
## race_asian_pac_islander 0.0004327562 0.0009695046
## race_black -0.0070175685 -0.0014905583
## race_other -0.0013193583 0.0012347862
## race_white 0.0040253167 -0.0004355444
## sex_female -0.0002231613 0.0039872724
## sex_male 0.0002231613 -0.0039872724
## native_country_cambodia -0.1579147927 -0.1309161215
## native_country_canada 0.0956428546 -0.0119873698
## native_country_china 0.2009576371 0.1353502851
## native_country_columbia 0.0950160181 -0.1962854216
## native_country_cuba -0.0753105924 -0.0677755987
## native_country_dominican_republic 0.1330539093 0.0685470040
## native_country_ecuador -0.1269413828 0.0809098341
## native_country_el_salvador -0.1564781996 -0.0334529005
## native_country_england -0.0453827564 0.1281072242
## native_country_france 0.1798185475 -0.0582488569
## native_country_germany 0.0552248467 0.1339633178
## native_country_greece 0.0671692555 0.0360432313
## native_country_guatemala -0.0446620760 0.0269344681
## native_country_haiti -0.2076584453 -0.0488882610
## native_country_holand_netherlands -0.0636633769 -0.2340718724
## native_country_honduras -0.1756077455 0.0297963505
## native_country_hong -0.1203527339 -0.0136172588
## native_country_hungary -0.1080223629 0.3833917247
## native_country_india 0.1141156479 -0.0031768978
## native_country_iran -0.0199431207 -0.1214158782
## native_country_ireland 0.3104128807 0.1637895464
## native_country_italy -0.1264166503 -0.0824298674
## native_country_jamaica 0.2174125073 -0.0488886281
## native_country_japan -0.1490591927 -0.4789063880
## native_country_laos -0.0661131046 0.1458575834
## native_country_mexico 0.0925993127 0.0137396421
## native_country_nicaragua 0.3805926286 -0.0296116026
## native_country_outlying_us(guam_usvi_etc) -0.2199430105 0.2220127102
## native_country_peru -0.1884198445 0.3054747118
## native_country_philippines 0.1414456091 -0.0165623696
## native_country_poland -0.2140270909 -0.2505842443
## native_country_portugal -0.0218903511 -0.0280706480
## native_country_puerto_rico -0.1696176786 -0.0526827329
## native_country_scotland 0.0090263211 0.1564045531
## native_country_south 0.0742932512 -0.0013772013
## native_country_taiwan -0.2114554356 -0.0293995237
## native_country_thailand -0.0352801748 0.2143599831
## native_country_trinadad&tobago -0.0065630103 0.1017106354
## native_country_united_states -0.0001767155 0.0019877128
## native_country_vietnam -0.2283840874 0.0769256697
## native_country_yugoslavia 0.1572980221 -0.2056550243
## PC51 PC52
## l_capital_gain -0.0381648729 -0.0101166029
## l_capital_loss 0.0121217881 0.0075582916
## age 0.0165883138 0.0065814361
## fnlwgt 0.0149806606 0.0020774219
## education_num -0.0049405448 0.0089564474
## hours_per_week -0.0076970988 -0.0311115455
## workclass_federal_gov 0.0079132916 -0.0033015401
## workclass_local_gov 0.0018233685 -0.0097720035
## workclass_private -0.0018210997 0.0020211709
## workclass_self_emp_inc -0.0214653198 0.0028924210
## workclass_self_emp_not_inc 0.0051214772 -0.0108952950
## workclass_state_gov 0.0052559393 0.0255537415
## workclass_without_pay 0.0232661472 -0.0257188272
## education_1st_4th -0.0131206192 0.0239161579
## education_5th_6th 0.0008715364 0.0010505905
## education_7th_8th 0.0035089353 0.0103328987
## education_9th 0.0149137130 -0.0109971935
## education_10th 0.0177896339 -0.0498298332
## education_11th 0.0154571126 -0.0197245749
## education_12th -0.0001866409 -0.0296576864
## education_assoc_acdm -0.0008812883 -0.0117510450
## education_assoc_voc 0.0092431225 0.0286792369
## education_bachelors 0.0045992370 0.0106650765
## education_doctorate 0.0147634782 -0.0115232262
## education_hs_grad -0.0022904897 0.0266945073
## education_masters -0.0033649948 -0.0107939223
## education_preschool -0.0035056247 -0.0002268359
## education_prof_school -0.0045727027 0.0075089548
## education_some_college -0.0233430007 -0.0102080770
## marital_status_divorced 0.0268308321 0.0203375783
## marital_status_married_af_spouse 0.0081761738 0.0159302501
## marital_status_married_civ_spouse 0.0030656793 0.0051019478
## marital_status_married_spouse_absent 0.0044020929 -0.0092943706
## marital_status_never_married -0.0026550017 0.0037685898
## marital_status_separated -0.0581161497 -0.0608644610
## marital_status_widowed -0.0010466331 -0.0010194050
## occupation_adm_clerical 0.0190935139 0.0195738639
## occupation_armed_forces 0.0179125454 -0.0295325938
## occupation_craft_repair 0.0158615031 -0.0040360585
## occupation_exec_managerial 0.0075276869 -0.0022899487
## occupation_farming_fishing -0.0122814640 -0.0175305075
## occupation_handlers_cleaners -0.0034236006 0.0038009864
## occupation_machine_op_inspct -0.0155119727 -0.0021598171
## occupation_other_service 0.0010226102 0.0125477250
## occupation_priv_house_serv -0.0064045478 0.0105949748
## occupation_prof_specialty -0.0049181340 0.0145330250
## occupation_protective_serv 0.0198456192 -0.0046519106
## occupation_sales 0.0111276678 0.0185779713
## occupation_tech_support -0.0289445242 -0.0218156999
## occupation_transport_moving -0.0336158799 -0.0544021661
## relationship_husband 0.0100700392 0.0040847691
## relationship_not_in_family -0.0086778066 -0.0186327326
## relationship_other_relative 0.0177325081 -0.0003183745
## relationship_own_child -0.0078952221 0.0141081272
## relationship_unmarried 0.0056068236 0.0045576849
## relationship_wife -0.0147954724 -0.0008947217
## race_amer_indian_eskimo -0.0424609342 0.0535422463
## race_asian_pac_islander 0.0023656896 -0.0095240411
## race_black 0.0041524728 -0.0013885440
## race_other 0.0058935977 0.0087211782
## race_white 0.0058293638 -0.0115256452
## sex_female 0.0032776782 -0.0021457895
## sex_male -0.0032776782 0.0021457895
## native_country_cambodia 0.0109567672 0.3750884950
## native_country_canada 0.0038830497 0.0014941795
## native_country_china -0.1861819820 0.1664092600
## native_country_columbia 0.2659185512 0.2228294806
## native_country_cuba -0.1709752099 0.1708671179
## native_country_dominican_republic 0.1780009527 -0.1496300104
## native_country_ecuador -0.1992197277 -0.1132682747
## native_country_el_salvador 0.0600709063 -0.1085828030
## native_country_england -0.1334461092 -0.1524014663
## native_country_france -0.0154915372 0.1710732139
## native_country_germany 0.0092300020 -0.2269944612
## native_country_greece 0.2029147229 0.3123808961
## native_country_guatemala 0.0780785601 0.1214406500
## native_country_haiti -0.0814146601 0.0475956923
## native_country_holand_netherlands 0.1305523388 -0.2465089538
## native_country_honduras -0.3410536802 0.0588646523
## native_country_hong -0.0342284316 -0.0605738058
## native_country_hungary 0.1445521862 -0.1437930100
## native_country_india 0.0184352608 0.0349756983
## native_country_iran -0.1569760299 0.2665746790
## native_country_ireland -0.1052731677 0.0435323831
## native_country_italy 0.0082990092 0.0224883018
## native_country_jamaica 0.1557098348 -0.0122663367
## native_country_japan 0.0550823328 -0.1965873210
## native_country_laos 0.0143796567 -0.0852195398
## native_country_mexico 0.0060772980 0.0231660820
## native_country_nicaragua -0.1352136713 -0.2144912689
## native_country_outlying_us(guam_usvi_etc) 0.0396020413 0.2015383254
## native_country_peru 0.1344780625 0.0945283349
## native_country_philippines 0.0391059499 -0.0346712727
## native_country_poland -0.1244625510 -0.1698443906
## native_country_portugal -0.1112486831 -0.0947546142
## native_country_puerto_rico -0.0489212672 0.0382676033
## native_country_scotland 0.4348133257 0.0214635043
## native_country_south 0.0222860103 -0.1514780477
## native_country_taiwan 0.3371894145 -0.2048680447
## native_country_thailand -0.2929245116 -0.1257434228
## native_country_trinadad&tobago -0.1244498321 -0.0603045302
## native_country_united_states 0.0021696171 -0.0008436072
## native_country_vietnam -0.0010904026 0.1513975152
## native_country_yugoslavia -0.0938829576 0.0988925780
## PC53 PC54
## l_capital_gain -0.0004185178 -0.05195322901
## l_capital_loss -0.0190980254 0.00930468310
## age 0.0096875100 0.00590697273
## fnlwgt -0.0053134589 -0.01544636017
## education_num -0.0079755681 -0.00457037315
## hours_per_week -0.0287525574 -0.01462658989
## workclass_federal_gov 0.0039162667 0.00639172749
## workclass_local_gov 0.0222331209 -0.01121228270
## workclass_private -0.0056210380 -0.01020741583
## workclass_self_emp_inc 0.0103991638 -0.02933673225
## workclass_self_emp_not_inc -0.0098938635 0.00989599255
## workclass_state_gov -0.0296327788 0.03768526873
## workclass_without_pay 0.1386806640 0.06140564377
## education_1st_4th -0.0049307766 0.02485236943
## education_5th_6th -0.0086547120 0.00139158852
## education_7th_8th -0.0642855200 -0.04349134015
## education_9th 0.0079545206 -0.01462966491
## education_10th 0.0320376321 0.03843586808
## education_11th 0.0730049660 0.02566928318
## education_12th 0.0323742786 -0.02738266136
## education_assoc_acdm 0.0289521106 -0.02820390331
## education_assoc_voc -0.0007616325 0.05974057753
## education_bachelors -0.0212874456 0.00219156995
## education_doctorate 0.0053865585 -0.00932306230
## education_hs_grad -0.0121195438 -0.00619289843
## education_masters 0.0082661378 0.01146134906
## education_preschool 0.0037385352 -0.00289056339
## education_prof_school -0.0137044277 -0.03109169824
## education_some_college -0.0140587653 -0.01127833236
## marital_status_divorced 0.0087530025 -0.00154192775
## marital_status_married_af_spouse -0.0809325328 -0.09713188775
## marital_status_married_civ_spouse 0.0161340226 0.02035730009
## marital_status_married_spouse_absent -0.0034123167 -0.00342863160
## marital_status_never_married -0.0089498831 -0.00624867975
## marital_status_separated -0.0282979152 -0.02853934889
## marital_status_widowed 0.0033387653 0.00737790205
## occupation_adm_clerical -0.0343729975 -0.00537299999
## occupation_armed_forces 0.0740824629 0.06565511978
## occupation_craft_repair -0.0174827036 -0.04093293426
## occupation_exec_managerial 0.0026439379 -0.01512362464
## occupation_farming_fishing 0.0146112378 0.02062828630
## occupation_handlers_cleaners 0.0253590177 -0.02450113539
## occupation_machine_op_inspct 0.0189021119 0.00932049615
## occupation_other_service -0.0080924445 -0.00722528451
## occupation_priv_house_serv -0.0048381579 0.01542198423
## occupation_prof_specialty -0.0062236616 -0.00475167616
## occupation_protective_serv 0.0091864683 -0.00860762598
## occupation_sales 0.0329229042 0.02355030345
## occupation_tech_support -0.0033084103 0.02414265851
## occupation_transport_moving -0.0182869750 0.04938681582
## relationship_husband -0.0006989669 0.01412752652
## relationship_not_in_family 0.0149702047 0.00064923685
## relationship_other_relative 0.0075140010 -0.01961784951
## relationship_own_child -0.0092726566 -0.01007262240
## relationship_unmarried -0.0290586571 -0.00443940171
## relationship_wife 0.0225207884 0.00488335721
## race_amer_indian_eskimo -0.0388276492 0.02757114274
## race_asian_pac_islander 0.0032239937 -0.00323496434
## race_black 0.0032394221 -0.00006594016
## race_other 0.0040669625 -0.00019260661
## race_white 0.0056227377 -0.00609667440
## sex_female 0.0028514356 0.01128700419
## sex_male -0.0028514356 -0.01128700419
## native_country_cambodia 0.1854599971 0.15067271295
## native_country_canada 0.0459747742 -0.13913802024
## native_country_china 0.1811928714 -0.23341213046
## native_country_columbia 0.2159692108 -0.08813478196
## native_country_cuba -0.0131366997 0.06423462097
## native_country_dominican_republic -0.1523609590 0.11535656364
## native_country_ecuador 0.1723633872 -0.06637889905
## native_country_el_salvador -0.0203405590 0.11232338620
## native_country_england -0.1353025151 -0.05832725351
## native_country_france 0.2302458403 0.04146624773
## native_country_germany 0.1087986291 -0.12599440771
## native_country_greece -0.1179240692 -0.06388830870
## native_country_guatemala -0.0920223690 -0.06780608720
## native_country_haiti -0.1211301403 -0.06470690508
## native_country_holand_netherlands 0.0036885457 0.04848163419
## native_country_honduras 0.2114646590 0.15879059827
## native_country_hong -0.1739545545 -0.07690560754
## native_country_hungary 0.2125783630 -0.07785128452
## native_country_india -0.1424214115 0.05503684428
## native_country_iran -0.0710577438 -0.05561083695
## native_country_ireland -0.0351687941 0.59000041995
## native_country_italy -0.1169410261 0.10157080987
## native_country_jamaica 0.1798824553 0.01446847135
## native_country_japan 0.2968881864 0.18321451377
## native_country_laos 0.1704705687 0.05226148391
## native_country_mexico 0.0106824365 -0.05764833820
## native_country_nicaragua -0.0133688653 0.15219800939
## native_country_outlying_us(guam_usvi_etc) 0.1630830223 0.27052530239
## native_country_peru -0.2896128892 0.18434183532
## native_country_philippines -0.0492436479 -0.03914875529
## native_country_poland -0.1788854113 -0.13339621229
## native_country_portugal 0.1333624809 -0.05201175078
## native_country_puerto_rico 0.0356514271 -0.08434999120
## native_country_scotland 0.0590536294 -0.18936427794
## native_country_south -0.0743457358 -0.09508041109
## native_country_taiwan -0.0417820462 0.31115788328
## native_country_thailand 0.0853043414 0.02969467330
## native_country_trinadad&tobago -0.1414308047 -0.08871988254
## native_country_united_states -0.0026151616 -0.00620814891
## native_country_vietnam -0.1437047689 -0.07855899413
## native_country_yugoslavia -0.3472240248 0.14954941259
## PC55 PC56
## l_capital_gain -0.0291482276 -0.005914031472
## l_capital_loss 0.0456345638 -0.003474031058
## age -0.0015891406 0.009289804963
## fnlwgt -0.0006224884 0.000628806304
## education_num 0.0087734038 -0.006202265819
## hours_per_week -0.0027083515 0.000736761171
## workclass_federal_gov 0.0072526303 0.000264900153
## workclass_local_gov 0.0217059493 -0.037060770173
## workclass_private 0.0177897497 0.003201307032
## workclass_self_emp_inc -0.0125138053 -0.010337692171
## workclass_self_emp_not_inc -0.0031163940 0.025256598922
## workclass_state_gov -0.0575656210 0.022412379984
## workclass_without_pay 0.0143490863 -0.079238246012
## education_1st_4th 0.0125870460 -0.049012118207
## education_5th_6th 0.0017366536 0.007611854826
## education_7th_8th -0.0547383915 0.030813752137
## education_9th -0.0081078625 0.021458025233
## education_10th 0.0448630662 0.058377872271
## education_11th -0.0526332920 -0.005013149307
## education_12th 0.0012469849 0.005746818439
## education_assoc_acdm -0.0380170782 -0.043833921093
## education_assoc_voc 0.0423314321 -0.026797559297
## education_bachelors -0.0264463412 0.061640236684
## education_doctorate 0.0034552656 0.046424037582
## education_hs_grad 0.0308714650 0.000008468447
## education_masters 0.0255268903 -0.068889951302
## education_preschool -0.0053022327 -0.015008394439
## education_prof_school 0.0052725442 0.024038330256
## education_some_college -0.0084514866 -0.035660543081
## marital_status_divorced -0.0451334979 -0.005602980581
## marital_status_married_af_spouse 0.1023506509 0.039644216689
## marital_status_married_civ_spouse -0.0049129609 -0.005481670884
## marital_status_married_spouse_absent -0.0147434352 0.008214347113
## marital_status_never_married 0.0023223014 0.007557803407
## marital_status_separated 0.0518615042 -0.030577962073
## marital_status_widowed 0.0414764988 0.027168876456
## occupation_adm_clerical -0.0137871924 0.028184499628
## occupation_armed_forces 0.1295562989 -0.014456635954
## occupation_craft_repair 0.0203098940 0.019298127614
## occupation_exec_managerial -0.0293847258 -0.012801297062
## occupation_farming_fishing 0.0313397055 0.007757719388
## occupation_handlers_cleaners -0.0144830677 -0.009981586795
## occupation_machine_op_inspct -0.0054388271 -0.000513842574
## occupation_other_service 0.0059268274 0.006080922410
## occupation_priv_house_serv 0.0097376689 0.007024679963
## occupation_prof_specialty 0.0019084517 0.014197218388
## occupation_protective_serv 0.0170741940 0.004313281452
## occupation_sales 0.0362288607 -0.022627567918
## occupation_tech_support -0.0017046040 -0.053943099339
## occupation_transport_moving -0.0591092839 -0.006601255402
## relationship_husband 0.0074450849 0.005290684225
## relationship_not_in_family 0.0035271795 -0.022106744287
## relationship_other_relative -0.0361308269 0.012241924827
## relationship_own_child 0.0037515904 0.008751487864
## relationship_unmarried 0.0052719045 0.018616853460
## relationship_wife -0.0095826371 -0.018230202269
## race_amer_indian_eskimo -0.0746789421 0.063305392669
## race_asian_pac_islander 0.0046955476 -0.007881069049
## race_black 0.0134540106 -0.001725314439
## race_other 0.0103165855 0.000736754408
## race_white 0.0048421946 -0.012757372695
## sex_female -0.0029495869 -0.000863417069
## sex_male 0.0029495869 0.000863417069
## native_country_cambodia -0.2170077209 0.097649121707
## native_country_canada -0.0553401044 -0.132633804372
## native_country_china 0.0796655888 -0.119346474558
## native_country_columbia -0.2203179397 -0.249472988144
## native_country_cuba 0.0037909231 0.124555755799
## native_country_dominican_republic 0.1662960911 0.185952176951
## native_country_ecuador 0.0652645893 -0.098139311357
## native_country_el_salvador -0.0933201713 0.126852578086
## native_country_england -0.1685428440 -0.005319141143
## native_country_france 0.2699509906 0.370460512843
## native_country_germany 0.1939370704 0.047881257808
## native_country_greece -0.0101254698 0.193205495215
## native_country_guatemala -0.0103123912 -0.120576565262
## native_country_haiti 0.0662765263 -0.304086334762
## native_country_holand_netherlands 0.0603885954 0.069673322404
## native_country_honduras 0.1242836820 -0.011310478432
## native_country_hong 0.1375811099 0.214872349817
## native_country_hungary 0.0203490452 -0.085477867788
## native_country_india 0.0403204342 0.033416118250
## native_country_iran -0.1670964885 0.101867033970
## native_country_ireland -0.1445379109 -0.130450448901
## native_country_italy -0.0309485205 -0.136952775640
## native_country_jamaica -0.0721253574 0.010015539869
## native_country_japan -0.0611444324 0.156861478966
## native_country_laos -0.1326278588 0.089490883891
## native_country_mexico 0.0183182869 -0.017746563566
## native_country_nicaragua -0.0993955650 0.102583538910
## native_country_outlying_us(guam_usvi_etc) 0.4027552643 0.067707766361
## native_country_peru -0.2861468467 0.052072794679
## native_country_philippines -0.0161108972 -0.019570406686
## native_country_poland -0.0028503234 0.193956023295
## native_country_portugal -0.1185789844 -0.137432980093
## native_country_puerto_rico 0.0855898179 -0.162879609830
## native_country_scotland 0.0963616004 0.152876368840
## native_country_south -0.0229824659 -0.214361418728
## native_country_taiwan 0.0394705627 -0.161025380900
## native_country_thailand -0.0555203158 0.129835660644
## native_country_trinadad&tobago -0.2219517006 0.290971006526
## native_country_united_states -0.0012030480 0.003074581616
## native_country_vietnam 0.0915871942 0.060915233647
## native_country_yugoslavia 0.4193486668 -0.223153953352
## PC57 PC58
## l_capital_gain -0.0726295676 -0.0315690681
## l_capital_loss 0.0493558720 0.0679726467
## age 0.0019096619 0.0008811555
## fnlwgt 0.0306252936 -0.0318908425
## education_num 0.0038437933 0.0075723971
## hours_per_week 0.0010041692 0.0023007789
## workclass_federal_gov -0.0049228098 -0.0049784250
## workclass_local_gov -0.0006984651 0.0134608882
## workclass_private -0.0016772187 0.0060853993
## workclass_self_emp_inc -0.0193383210 0.0456189723
## workclass_self_emp_not_inc 0.0160991920 -0.0170180888
## workclass_state_gov -0.0014133319 -0.0583912227
## workclass_without_pay 0.0563452738 0.1302833433
## education_1st_4th 0.0314904727 -0.0112789576
## education_5th_6th 0.0047403651 -0.0026308160
## education_7th_8th 0.0889284914 -0.0175519325
## education_9th -0.0574136093 -0.0066597402
## education_10th -0.0327674493 0.1370894252
## education_11th 0.0259220934 -0.1242092631
## education_12th -0.0721360254 0.0016930257
## education_assoc_acdm 0.0638342605 0.1143223229
## education_assoc_voc -0.0420123282 0.0062940346
## education_bachelors 0.0166686914 -0.0002673657
## education_doctorate -0.0343064508 0.0136035087
## education_hs_grad -0.0167009024 -0.0019484061
## education_masters -0.0329951478 -0.0320476971
## education_preschool -0.0295986730 0.0284142078
## education_prof_school 0.0695067578 0.0014034963
## education_some_college 0.0075291171 -0.0275435806
## marital_status_divorced 0.0491549453 -0.0250437754
## marital_status_married_af_spouse -0.2590789763 -0.0012421586
## marital_status_married_civ_spouse 0.0246897594 -0.0033986459
## marital_status_married_spouse_absent -0.0302958375 0.0292347445
## marital_status_never_married 0.0103686169 0.0035675745
## marital_status_separated -0.1038280609 0.0602811812
## marital_status_widowed -0.0356965560 -0.0299434614
## occupation_adm_clerical -0.0045868511 0.0173722572
## occupation_armed_forces 0.0246802894 -0.1237803874
## occupation_craft_repair 0.0127690330 0.0209801728
## occupation_exec_managerial -0.0411786339 0.0044138706
## occupation_farming_fishing -0.0305095722 0.0136568136
## occupation_handlers_cleaners -0.0374471833 0.0994994892
## occupation_machine_op_inspct -0.0131847902 -0.0618741993
## occupation_other_service 0.0330251564 -0.0219047460
## occupation_priv_house_serv -0.0013443962 -0.0129286887
## occupation_prof_specialty 0.0543362463 -0.0026586354
## occupation_protective_serv -0.0554562888 -0.0151011480
## occupation_sales -0.0058921739 -0.0056526163
## occupation_tech_support -0.0110002490 0.0197697528
## occupation_transport_moving 0.0477460015 -0.0488332466
## relationship_husband 0.0041902430 -0.0155378117
## relationship_not_in_family 0.0185705006 0.0130292054
## relationship_other_relative 0.0147614581 -0.0011870563
## relationship_own_child -0.0147186039 -0.0040754794
## relationship_unmarried -0.0312207256 -0.0079549269
## relationship_wife 0.0100172733 0.0287342527
## race_amer_indian_eskimo 0.0120311111 0.1462357810
## race_asian_pac_islander -0.0054082051 -0.0113160114
## race_black 0.0045678088 -0.0219420796
## race_other 0.0094628678 0.0182690563
## race_white -0.0070150443 -0.0219211012
## sex_female 0.0099231232 -0.0065362090
## sex_male -0.0099231232 0.0065362090
## native_country_cambodia -0.0103430479 0.2760496042
## native_country_canada -0.2392870451 0.0620375211
## native_country_china 0.0322633931 0.1905311327
## native_country_columbia 0.1604781004 -0.2864112072
## native_country_cuba -0.0425195665 0.1748564135
## native_country_dominican_republic 0.0323703030 0.0077964857
## native_country_ecuador 0.1210123756 -0.1247419794
## native_country_el_salvador 0.0284109922 0.0526183225
## native_country_england 0.0806181613 -0.0256620777
## native_country_france -0.1667644445 -0.1089587412
## native_country_germany 0.0545971304 0.0066381237
## native_country_greece 0.2375443151 -0.1484265462
## native_country_guatemala -0.0911256435 0.0636554109
## native_country_haiti -0.0223395215 -0.0295458266
## native_country_holand_netherlands -0.3784258893 -0.0280978549
## native_country_honduras 0.1816970060 -0.0868251408
## native_country_hong -0.0133910179 -0.4743259507
## native_country_hungary -0.3590875125 0.0457646080
## native_country_india -0.2714495662 0.0790248232
## native_country_iran -0.1858377496 -0.1397149104
## native_country_ireland -0.0352733025 -0.0646252700
## native_country_italy -0.1822770511 0.0224665038
## native_country_jamaica 0.0267274078 -0.1325180833
## native_country_japan -0.0449583355 0.0499908331
## native_country_laos 0.0300613359 0.0463547610
## native_country_mexico -0.0044906150 -0.0468681866
## native_country_nicaragua 0.1902140540 0.2151579593
## native_country_outlying_us(guam_usvi_etc) 0.0502304816 -0.0480757706
## native_country_peru -0.1034523114 -0.0812565344
## native_country_philippines 0.0259180298 -0.1729821733
## native_country_poland 0.2303124844 0.0496906478
## native_country_portugal 0.0207401648 -0.0769645023
## native_country_puerto_rico -0.0296942520 0.1873444589
## native_country_scotland 0.2189008432 0.2707197816
## native_country_south 0.1271266480 -0.0249509520
## native_country_taiwan 0.1403630674 0.0440361415
## native_country_thailand 0.0080178710 -0.1131667959
## native_country_trinadad&tobago 0.0134522917 0.1924850157
## native_country_united_states 0.0034510689 0.0013592123
## native_country_vietnam -0.0087227442 0.0482543297
## native_country_yugoslavia 0.0921452985 0.1482057665
## PC59 PC60
## l_capital_gain -0.0279879380 0.0410187165
## l_capital_loss 0.0819392940 0.0003196531
## age 0.0239219465 0.0098552548
## fnlwgt 0.0464237938 -0.0305177481
## education_num -0.0036589630 -0.0042323915
## hours_per_week -0.0197207546 0.0227962964
## workclass_federal_gov 0.0082863309 0.0113220793
## workclass_local_gov -0.0259695003 0.0376756654
## workclass_private -0.0004864392 0.0346926523
## workclass_self_emp_inc 0.0015759558 -0.0295424447
## workclass_self_emp_not_inc -0.0029790111 -0.0016131798
## workclass_state_gov 0.0147593616 -0.0751735277
## workclass_without_pay 0.1334037491 -0.2568262184
## education_1st_4th 0.0535236642 -0.1136541235
## education_5th_6th -0.0092021507 0.0030334889
## education_7th_8th 0.0078133388 0.1231215731
## education_9th -0.0805544209 0.0937030604
## education_10th -0.0059825384 -0.0081741899
## education_11th 0.0301802939 -0.1875258205
## education_12th -0.0349451970 0.0840627204
## education_assoc_acdm -0.0137610655 0.0266714811
## education_assoc_voc 0.0191662440 0.0623827086
## education_bachelors -0.0404384072 -0.0282943454
## education_doctorate 0.0043558199 0.0592539882
## education_hs_grad 0.0107287097 -0.0112468962
## education_masters 0.0023490128 -0.0511115227
## education_preschool -0.0080303433 0.0354719492
## education_prof_school 0.0308795823 0.0265663552
## education_some_college 0.0219917945 0.0127370887
## marital_status_divorced -0.0598886073 -0.0681475902
## marital_status_married_af_spouse 0.0692629413 -0.0293688654
## marital_status_married_civ_spouse -0.0001774040 -0.0060339644
## marital_status_married_spouse_absent -0.0314986076 0.0104788439
## marital_status_never_married 0.0083452428 0.0173379676
## marital_status_separated 0.0121492633 0.0153855337
## marital_status_widowed 0.0991524815 0.0932776261
## occupation_adm_clerical -0.0307591692 0.0629496150
## occupation_armed_forces -0.0855376370 0.0083275845
## occupation_craft_repair -0.0074276536 -0.0654027273
## occupation_exec_managerial 0.0917230338 -0.0492015375
## occupation_farming_fishing -0.0350900085 0.0116592566
## occupation_handlers_cleaners 0.1058746248 0.2268382364
## occupation_machine_op_inspct -0.0035841922 -0.1164923664
## occupation_other_service 0.0307556007 -0.0773821163
## occupation_priv_house_serv -0.0215282838 -0.0249931942
## occupation_prof_specialty -0.0041480944 0.0264984482
## occupation_protective_serv -0.0245515446 0.0589568699
## occupation_sales -0.1269017423 -0.0202030170
## occupation_tech_support 0.0276852339 0.0475881430
## occupation_transport_moving 0.0069940891 0.0184795253
## relationship_husband -0.0055270708 -0.0082100886
## relationship_not_in_family 0.0303396664 -0.0452649236
## relationship_other_relative -0.0236540358 0.0444595062
## relationship_own_child -0.0160226792 0.0066387392
## relationship_unmarried -0.0213600735 0.0432033649
## relationship_wife 0.0271228613 0.0031536258
## race_amer_indian_eskimo -0.0797917489 -0.1271190508
## race_asian_pac_islander 0.0074091553 0.0169903999
## race_black 0.0188565335 -0.0032466658
## race_other 0.0139728172 0.0112195339
## race_white -0.0004921701 0.0274668854
## sex_female -0.0060948035 -0.0026355598
## sex_male 0.0060948035 0.0026355598
## native_country_cambodia 0.0729353900 0.0444085557
## native_country_canada 0.1476421897 -0.0257106476
## native_country_china -0.2585453493 0.0551990416
## native_country_columbia 0.0321143399 -0.1183844679
## native_country_cuba 0.0247802409 -0.1800243120
## native_country_dominican_republic 0.0416801142 0.1286458971
## native_country_ecuador 0.1006597214 -0.0953997091
## native_country_el_salvador 0.1450991735 0.0229931167
## native_country_england -0.1687973863 0.1234586714
## native_country_france 0.1666114451 -0.0462624366
## native_country_germany 0.3125637890 -0.1639398579
## native_country_greece -0.3153922756 0.1125839796
## native_country_guatemala 0.0079356910 -0.0770370749
## native_country_haiti -0.0057271720 0.0016306988
## native_country_holand_netherlands -0.1244737058 0.0326118871
## native_country_honduras 0.0474152695 0.3141271868
## native_country_hong -0.0133443193 0.0236026061
## native_country_hungary -0.2810295993 0.1212797571
## native_country_india 0.0533846843 -0.0758410887
## native_country_iran 0.0907287988 0.1597583900
## native_country_ireland 0.1412629134 0.1707318828
## native_country_italy -0.1142084416 -0.1705604216
## native_country_jamaica -0.0674955905 0.0511864725
## native_country_japan -0.1072889384 0.1918995375
## native_country_laos 0.1363158565 0.0181687660
## native_country_mexico -0.0293762937 0.0092887982
## native_country_nicaragua -0.2294401322 -0.2808043005
## native_country_outlying_us(guam_usvi_etc) -0.0929050464 -0.2296475451
## native_country_peru 0.0159951140 -0.0198024876
## native_country_philippines -0.1061464256 -0.1373769901
## native_country_poland -0.0817918370 -0.0977729099
## native_country_portugal -0.0730786638 0.0259362692
## native_country_puerto_rico -0.1355042369 0.0688526039
## native_country_scotland 0.0833001127 0.2528174630
## native_country_south 0.3877355192 0.1795404821
## native_country_taiwan -0.0909815661 -0.0433020809
## native_country_thailand -0.1537424239 0.1005937185
## native_country_trinadad&tobago 0.0738799367 -0.0373972304
## native_country_united_states 0.0103947799 0.0094094683
## native_country_vietnam 0.1316379699 -0.0723136396
## native_country_yugoslavia -0.0610344171 0.1854456028
## PC61 PC62
## l_capital_gain 0.08928812883 0.09508829424
## l_capital_loss -0.11796075279 -0.12194063750
## age -0.02762895137 0.02571605144
## fnlwgt 0.05714037608 0.02830824952
## education_num -0.01284341246 -0.00176609572
## hours_per_week 0.01622470800 -0.01275914331
## workclass_federal_gov 0.00758135345 -0.00356219649
## workclass_local_gov -0.02548238585 0.00198199593
## workclass_private -0.02149757922 0.02937985865
## workclass_self_emp_inc 0.03127341626 -0.02588888273
## workclass_self_emp_not_inc -0.04944439265 0.00259346891
## workclass_state_gov 0.08628235330 -0.05488022442
## workclass_without_pay 0.22921069431 0.11330722132
## education_1st_4th -0.00836771486 -0.02751191958
## education_5th_6th 0.02053332000 -0.01545002677
## education_7th_8th -0.01222146508 -0.02041804693
## education_9th -0.00074019390 0.05415199818
## education_10th 0.11685167805 0.04393948422
## education_11th -0.00222208597 -0.01018929763
## education_12th -0.02803644965 0.01255643824
## education_assoc_acdm 0.12729979175 -0.11941413687
## education_assoc_voc -0.02923903894 0.10322109736
## education_bachelors -0.01378775491 0.02675292121
## education_doctorate -0.00440077243 0.00570181413
## education_hs_grad -0.02293879124 -0.00840955891
## education_masters -0.02710987823 0.04081478879
## education_preschool -0.06403007607 -0.01392471547
## education_prof_school 0.00690495985 -0.07147521007
## education_some_college -0.01878719137 -0.03080478498
## marital_status_divorced -0.02200695676 -0.00015615195
## marital_status_married_af_spouse -0.30644445868 -0.21441287123
## marital_status_married_civ_spouse 0.02506214788 0.01377401541
## marital_status_married_spouse_absent -0.00261351886 0.04667856775
## marital_status_never_married 0.00827570847 0.01466714739
## marital_status_separated 0.05576629427 -0.07193323784
## marital_status_widowed -0.06043688579 -0.00357232088
## occupation_adm_clerical 0.01702250476 0.08330373427
## occupation_armed_forces -0.01706912254 -0.00901762583
## occupation_craft_repair 0.05060779282 0.09506406060
## occupation_exec_managerial -0.03727082478 -0.00045433704
## occupation_farming_fishing -0.07765816554 0.03232975132
## occupation_handlers_cleaners -0.13966522502 -0.06606457828
## occupation_machine_op_inspct 0.05991572437 -0.07135895085
## occupation_other_service 0.02106987651 -0.00005783868
## occupation_priv_house_serv -0.01541251127 -0.01545813777
## occupation_prof_specialty 0.02489763181 -0.03588796365
## occupation_protective_serv -0.01995183992 -0.00095793304
## occupation_sales -0.04822512957 -0.01451543907
## occupation_tech_support 0.01381792699 -0.04911936025
## occupation_transport_moving 0.09278215595 -0.03139308797
## relationship_husband -0.00394431987 -0.00919589967
## relationship_not_in_family -0.00003401985 0.06040491117
## relationship_other_relative -0.00014320845 0.04881805651
## relationship_own_child 0.00251340893 -0.02753263685
## relationship_unmarried -0.01423605817 -0.08602937660
## relationship_wife 0.02605947761 0.02844567904
## race_amer_indian_eskimo -0.01059080019 0.03369907726
## race_asian_pac_islander 0.00545561630 -0.00142562237
## race_black -0.00336500486 -0.00334961851
## race_other -0.01287415917 0.01805016514
## race_white 0.00644262269 -0.01056812706
## sex_female 0.02026878057 -0.00067880740
## sex_male -0.02026878057 0.00067880740
## native_country_cambodia 0.09193277450 -0.21558827975
## native_country_canada 0.03883238598 -0.00577192714
## native_country_china -0.05559506498 0.04605739228
## native_country_columbia -0.16418200370 0.09335014309
## native_country_cuba -0.02917427685 0.11934091393
## native_country_dominican_republic 0.06944573454 0.00310468886
## native_country_ecuador -0.09820113525 -0.26326258906
## native_country_el_salvador -0.14838428520 -0.02559448969
## native_country_england 0.16099076022 -0.01696777884
## native_country_france 0.10201814549 0.11171387198
## native_country_germany -0.14032587788 -0.01230438257
## native_country_greece 0.13357774330 -0.10495071050
## native_country_guatemala 0.09674577565 -0.03801375103
## native_country_haiti 0.06954794221 0.10391800157
## native_country_holand_netherlands 0.17997390141 0.29013326588
## native_country_honduras -0.10785028186 0.40543013360
## native_country_hong -0.02156610121 -0.09421371285
## native_country_hungary 0.07013614576 -0.26632370136
## native_country_india -0.05048169066 0.09827968736
## native_country_iran 0.07589041289 0.12113364729
## native_country_ireland 0.12106947377 -0.26424736600
## native_country_italy -0.09537928704 0.03409806878
## native_country_jamaica -0.16489718198 -0.04559475324
## native_country_japan 0.00736572154 -0.17519670810
## native_country_laos -0.19970794089 -0.03689457482
## native_country_mexico 0.09903079336 -0.04303495489
## native_country_nicaragua -0.01280980468 0.13984937329
## native_country_outlying_us(guam_usvi_etc) 0.17105398045 -0.04433062803
## native_country_peru -0.12156719508 0.19894895882
## native_country_philippines 0.02552388019 0.02716117251
## native_country_poland 0.14471195677 -0.21884294088
## native_country_portugal -0.15712550906 0.06486510187
## native_country_puerto_rico 0.03930568526 0.02286363133
## native_country_scotland -0.03186137659 0.15916025344
## native_country_south 0.42158122451 0.03596998548
## native_country_taiwan -0.17436544970 0.11273185214
## native_country_thailand -0.08013439487 0.07002639647
## native_country_trinadad&tobago -0.14443249583 0.01019912804
## native_country_united_states 0.00299541978 0.00529346782
## native_country_vietnam -0.15076173327 -0.11090805135
## native_country_yugoslavia -0.21339151610 -0.07883964432
## PC63 PC64
## l_capital_gain 0.02927239986 0.0549134309
## l_capital_loss -0.02572811375 -0.0816082222
## age 0.00696818179 -0.0101746232
## fnlwgt -0.04081970361 0.0329693633
## education_num -0.01576283219 0.0212325366
## hours_per_week -0.00309772553 0.0129580112
## workclass_federal_gov 0.02698087140 -0.0101814377
## workclass_local_gov 0.03716811034 0.0025490207
## workclass_private -0.03711643387 0.0177506385
## workclass_self_emp_inc 0.06634614974 -0.0657151262
## workclass_self_emp_not_inc 0.05538707099 -0.0039047350
## workclass_state_gov -0.07132092514 0.0311260353
## workclass_without_pay -0.51221249302 0.0174973150
## education_1st_4th 0.06573786973 0.0387024092
## education_5th_6th -0.04175864212 0.0185909126
## education_7th_8th -0.11914718966 0.2293875135
## education_9th -0.03943796215 -0.1318468292
## education_10th 0.01581318127 -0.2361166734
## education_11th 0.12303851003 0.0939731855
## education_12th -0.06048103611 0.0432235522
## education_assoc_acdm 0.11701459673 0.2061501938
## education_assoc_voc -0.04324842821 -0.0712922610
## education_bachelors -0.06375427720 0.0122043389
## education_doctorate -0.01456545157 -0.0081312309
## education_hs_grad 0.04396928935 -0.0279890317
## education_masters -0.00127585575 0.0514516894
## education_preschool 0.08919192322 -0.0531207418
## education_prof_school 0.02272817275 -0.0698031495
## education_some_college -0.02912898514 -0.0406377013
## marital_status_divorced -0.06293643110 -0.0907948927
## marital_status_married_af_spouse -0.26494008662 0.2654123697
## marital_status_married_civ_spouse 0.01828954686 -0.0302796178
## marital_status_married_spouse_absent 0.00021688624 -0.0066522367
## marital_status_never_married -0.00028057660 0.0226959168
## marital_status_separated 0.11059875191 0.1218126119
## marital_status_widowed 0.00355770502 0.0508291520
## occupation_adm_clerical 0.05104056489 0.0326068225
## occupation_armed_forces -0.16502318704 -0.0199195065
## occupation_craft_repair -0.02760775322 0.0872495037
## occupation_exec_managerial 0.01639262189 0.0102481173
## occupation_farming_fishing 0.01566637587 -0.0364539872
## occupation_handlers_cleaners 0.07201801638 -0.1203316515
## occupation_machine_op_inspct -0.03068535773 -0.1179986368
## occupation_other_service 0.00040522809 -0.0120527796
## occupation_priv_house_serv -0.02766612524 -0.0227699607
## occupation_prof_specialty -0.03565601856 -0.0035889395
## occupation_protective_serv -0.04206214908 -0.0373616107
## occupation_sales -0.03771591255 0.0242366247
## occupation_tech_support 0.06958786111 -0.0626530909
## occupation_transport_moving 0.00002920756 0.1466427875
## relationship_husband -0.00064211850 -0.0022072731
## relationship_not_in_family 0.02645665589 -0.0254864739
## relationship_other_relative 0.00035880867 0.0384411288
## relationship_own_child -0.00154312303 0.0003197263
## relationship_unmarried -0.04454809371 0.0447104001
## relationship_wife 0.01390700105 -0.0388592426
## race_amer_indian_eskimo -0.04670673090 0.1000322744
## race_asian_pac_islander 0.01535797906 -0.0045820378
## race_black -0.01803164937 -0.0009591361
## race_other 0.00571961598 -0.0280715016
## race_white 0.01942770408 -0.0180192602
## sex_female 0.01672985484 -0.0111693233
## sex_male -0.01672985484 0.0111693233
## native_country_cambodia 0.08321556297 -0.0683356898
## native_country_canada 0.09024223093 0.1458925855
## native_country_china 0.13146616533 0.0703321518
## native_country_columbia -0.04132116357 0.1520047422
## native_country_cuba 0.01516675702 -0.0424033250
## native_country_dominican_republic 0.12144779902 0.0610962152
## native_country_ecuador 0.17500399015 0.0404239044
## native_country_el_salvador -0.18397892116 0.0173022169
## native_country_england 0.03840529771 0.1065359945
## native_country_france 0.04018675107 -0.0503576135
## native_country_germany 0.05853139725 -0.0151144057
## native_country_greece -0.16837850126 0.2107593781
## native_country_guatemala 0.13407529319 -0.0986081048
## native_country_haiti -0.01050116253 0.1130807064
## native_country_holand_netherlands 0.09282102406 0.2155237419
## native_country_honduras -0.00991815700 0.0948112863
## native_country_hong -0.08503639200 -0.1511738028
## native_country_hungary -0.13347395382 -0.0372013136
## native_country_india -0.14580483855 0.0541091096
## native_country_iran 0.00826462413 -0.1670283483
## native_country_ireland -0.03992320120 0.0242039254
## native_country_italy -0.01932205869 -0.1965708422
## native_country_jamaica -0.04241621775 -0.3540685201
## native_country_japan -0.02023157801 0.1271295337
## native_country_laos 0.00710535679 0.1369988916
## native_country_mexico 0.02684398074 0.0611715157
## native_country_nicaragua -0.15673545145 -0.0230203715
## native_country_outlying_us(guam_usvi_etc) 0.12690221224 0.1572062383
## native_country_peru 0.07003387601 0.0050254461
## native_country_philippines 0.22569353897 -0.0789418487
## native_country_poland 0.03311181819 -0.1157445844
## native_country_portugal -0.09101202612 0.0925567904
## native_country_puerto_rico -0.16590113011 -0.2228826756
## native_country_scotland -0.02817613361 -0.0495061573
## native_country_south -0.14543522684 -0.0452114675
## native_country_taiwan 0.14114460949 -0.0444425849
## native_country_thailand -0.17836443923 -0.0972391031
## native_country_trinadad&tobago 0.14505659858 0.1489706259
## native_country_united_states 0.00488488866 0.0061668934
## native_country_vietnam -0.22481335907 0.0575615261
## native_country_yugoslavia -0.01734166375 0.0332401642
## PC65 PC66
## l_capital_gain 0.071453624 0.0037798126
## l_capital_loss 0.005369578 -0.0181027807
## age 0.009118450 0.0389574391
## fnlwgt 0.032183444 0.0541338655
## education_num 0.005618798 -0.0138109493
## hours_per_week 0.016567690 -0.0264313047
## workclass_federal_gov 0.032772255 0.0749819067
## workclass_local_gov 0.040022692 -0.0530737596
## workclass_private -0.009366127 -0.0361639149
## workclass_self_emp_inc 0.129689292 -0.0603555242
## workclass_self_emp_not_inc -0.083484130 0.0615914340
## workclass_state_gov -0.080431915 0.0458791535
## workclass_without_pay 0.162859003 0.0576330084
## education_1st_4th 0.130179493 0.0364074252
## education_5th_6th -0.040337921 0.0001764529
## education_7th_8th -0.114580182 -0.0888044928
## education_9th -0.172171368 0.0142267691
## education_10th 0.102058953 0.0735706784
## education_11th 0.106905135 0.1911760646
## education_12th -0.004639890 -0.2359584391
## education_assoc_acdm -0.115471644 -0.0243306081
## education_assoc_voc 0.206758577 0.1181707830
## education_bachelors -0.007426307 -0.0270064588
## education_doctorate 0.052748207 0.0388943814
## education_hs_grad -0.035935472 -0.0546643341
## education_masters -0.051214760 0.0834499397
## education_preschool 0.076955750 0.0393916008
## education_prof_school 0.028201873 -0.1141595549
## education_some_college -0.017633434 -0.0178391394
## marital_status_divorced 0.039862374 0.0142754980
## marital_status_married_af_spouse 0.153784200 0.0184815955
## marital_status_married_civ_spouse -0.020471355 0.0029498590
## marital_status_married_spouse_absent 0.039799578 -0.0810648051
## marital_status_never_married 0.005374022 -0.0020547492
## marital_status_separated -0.121867870 0.0519060849
## marital_status_widowed 0.040004523 -0.0366276303
## occupation_adm_clerical 0.083560908 0.0954313155
## occupation_armed_forces -0.072457167 -0.1613820700
## occupation_craft_repair -0.021354327 -0.0137339767
## occupation_exec_managerial -0.041763120 -0.0578582916
## occupation_farming_fishing 0.013740385 -0.0271138855
## occupation_handlers_cleaners -0.055583346 0.1477959863
## occupation_machine_op_inspct -0.089950521 0.1040770722
## occupation_other_service 0.013545419 -0.1897535029
## occupation_priv_house_serv -0.007800138 0.0366002536
## occupation_prof_specialty 0.011592107 0.0283697751
## occupation_protective_serv -0.006837640 -0.0357906560
## occupation_sales 0.017132624 0.0896375680
## occupation_tech_support -0.064098479 -0.1046714986
## occupation_transport_moving 0.116737985 -0.0691255752
## relationship_husband 0.009939577 0.0049625619
## relationship_not_in_family -0.021673754 0.0590496847
## relationship_other_relative -0.031970150 -0.0941694384
## relationship_own_child 0.027187463 0.0134540078
## relationship_unmarried 0.036374202 -0.0557341868
## relationship_wife -0.051278370 0.0005058197
## race_amer_indian_eskimo -0.067933783 -0.0406475594
## race_asian_pac_islander -0.001661477 -0.0047257150
## race_black 0.006534919 0.0545310889
## race_other 0.018023240 0.0094327486
## race_white 0.009864087 -0.0344597231
## sex_female -0.014986285 -0.0140105429
## sex_male 0.014986285 0.0140105429
## native_country_cambodia -0.065723704 -0.0001912614
## native_country_canada -0.176050300 0.0150916721
## native_country_china 0.188731582 0.1046566925
## native_country_columbia 0.114822408 0.1372698451
## native_country_cuba -0.161764252 0.1228169710
## native_country_dominican_republic -0.107303253 0.1338757778
## native_country_ecuador 0.084392967 0.1570514615
## native_country_el_salvador -0.035582352 0.3043018599
## native_country_england 0.034021263 -0.0349956882
## native_country_france 0.027707954 0.0918972295
## native_country_germany -0.251019890 -0.0629632424
## native_country_greece -0.217611902 0.1250740543
## native_country_guatemala 0.042165714 -0.1440679702
## native_country_haiti -0.080452736 0.0266338362
## native_country_holand_netherlands 0.139815851 0.0920368965
## native_country_honduras -0.057693873 -0.0968198243
## native_country_hong 0.213558653 -0.1147289785
## native_country_hungary 0.033009292 0.0436845053
## native_country_india -0.179520022 -0.2109863678
## native_country_iran 0.065238143 -0.1579732335
## native_country_ireland 0.119015169 -0.0066746641
## native_country_italy 0.088092411 0.1877660220
## native_country_jamaica 0.022449821 -0.1443285304
## native_country_japan 0.017951179 -0.0020565602
## native_country_laos 0.066980470 -0.1483192422
## native_country_mexico 0.007847830 -0.1215936618
## native_country_nicaragua 0.040871085 -0.1156182496
## native_country_outlying_us(guam_usvi_etc) 0.190140367 -0.1328476954
## native_country_peru 0.087558201 0.0554817794
## native_country_philippines -0.046358359 0.0870311834
## native_country_poland 0.080163196 -0.0429426562
## native_country_portugal 0.122031864 -0.1587289135
## native_country_puerto_rico 0.053901924 -0.0572843456
## native_country_scotland 0.202015040 0.0370361354
## native_country_south 0.103645162 0.0929725504
## native_country_taiwan -0.117827263 -0.1257676958
## native_country_thailand -0.166027728 0.3352983153
## native_country_trinadad&tobago 0.335771963 -0.0258045467
## native_country_united_states -0.009048553 -0.0097779837
## native_country_vietnam -0.032812742 -0.0512470942
## native_country_yugoslavia 0.134820477 0.1207405215
## PC67 PC68
## l_capital_gain -0.011249219 -0.051262914
## l_capital_loss -0.015237158 0.049275241
## age 0.044181961 0.005231835
## fnlwgt -0.098993785 -0.055926675
## education_num 0.035044427 0.015654058
## hours_per_week -0.029957784 0.031036903
## workclass_federal_gov -0.009543549 0.029684566
## workclass_local_gov -0.071496639 0.003669544
## workclass_private -0.013598449 0.027314671
## workclass_self_emp_inc -0.026599831 0.042952830
## workclass_self_emp_not_inc -0.004896203 -0.032435711
## workclass_state_gov 0.149238096 -0.066621512
## workclass_without_pay 0.082047770 -0.169061601
## education_1st_4th 0.127309662 -0.090302193
## education_5th_6th -0.026803695 0.053423068
## education_7th_8th -0.359387590 -0.007548953
## education_9th 0.219719778 0.023462850
## education_10th -0.034711108 -0.005057218
## education_11th 0.024133252 -0.034975037
## education_12th 0.239919119 0.122542451
## education_assoc_acdm 0.096394852 0.154239895
## education_assoc_voc 0.025824476 0.091178565
## education_bachelors -0.085516916 -0.049275459
## education_doctorate 0.043284442 0.011873128
## education_hs_grad -0.033591078 -0.049033318
## education_masters 0.102335042 0.009518377
## education_preschool -0.011391705 0.069197505
## education_prof_school -0.082892285 0.009278576
## education_some_college -0.005818218 -0.047286498
## marital_status_divorced -0.078577523 -0.043034656
## marital_status_married_af_spouse 0.043093910 0.238247868
## marital_status_married_civ_spouse -0.001739564 -0.022784111
## marital_status_married_spouse_absent -0.002122174 -0.052839703
## marital_status_never_married -0.010207798 0.054463319
## marital_status_separated 0.096801299 -0.116425810
## marital_status_widowed 0.091161278 0.123802181
## occupation_adm_clerical 0.009511510 0.116321847
## occupation_armed_forces -0.077727893 -0.130562087
## occupation_craft_repair -0.012957170 -0.008178460
## occupation_exec_managerial -0.045964219 0.050641841
## occupation_farming_fishing -0.004721878 0.087480012
## occupation_handlers_cleaners 0.012699878 -0.234113216
## occupation_machine_op_inspct -0.011138968 0.242230123
## occupation_other_service 0.002117008 -0.063264912
## occupation_priv_house_serv 0.015537639 0.099230056
## occupation_prof_specialty 0.024997996 -0.005174177
## occupation_protective_serv -0.080372519 0.036984202
## occupation_sales 0.065935250 -0.085790479
## occupation_tech_support -0.090516303 -0.174283338
## occupation_transport_moving 0.068085403 -0.045856685
## relationship_husband 0.012932212 0.031372745
## relationship_not_in_family 0.065007932 -0.030040577
## relationship_other_relative -0.007120427 -0.075513556
## relationship_own_child -0.047728829 0.065955080
## relationship_unmarried -0.036618791 0.020987278
## relationship_wife -0.026100607 -0.091541770
## race_amer_indian_eskimo 0.029609716 0.045051113
## race_asian_pac_islander -0.003059096 -0.003376096
## race_black -0.025828749 0.004665260
## race_other -0.011077302 0.010136349
## race_white 0.017639874 -0.017543980
## sex_female -0.022984520 -0.018585048
## sex_male 0.022984520 0.018585048
## native_country_cambodia 0.006003883 -0.091374687
## native_country_canada -0.019506103 0.056716654
## native_country_china -0.145120202 0.092433660
## native_country_columbia -0.173334427 -0.090250032
## native_country_cuba -0.027325585 -0.027034797
## native_country_dominican_republic -0.022670794 -0.100847959
## native_country_ecuador -0.012627227 -0.006769208
## native_country_el_salvador -0.209111292 0.188778510
## native_country_england -0.114898716 -0.074858347
## native_country_france 0.040433126 -0.048822050
## native_country_germany 0.034152771 -0.021195892
## native_country_greece 0.168312037 -0.069448624
## native_country_guatemala 0.062476440 -0.064761403
## native_country_haiti 0.095625668 -0.076606741
## native_country_holand_netherlands 0.018216820 -0.134827132
## native_country_honduras 0.057409154 0.222602631
## native_country_hong -0.011756519 -0.116212783
## native_country_hungary -0.070334835 0.013612073
## native_country_india -0.261541171 -0.005023433
## native_country_iran -0.171812744 -0.089670931
## native_country_ireland -0.041432301 0.005906776
## native_country_italy -0.082803057 -0.078939720
## native_country_jamaica 0.110782763 0.091950552
## native_country_japan 0.110434011 0.076359392
## native_country_laos 0.265546462 -0.403356849
## native_country_mexico 0.024332383 0.004970747
## native_country_nicaragua 0.061913657 0.025866445
## native_country_outlying_us(guam_usvi_etc) -0.124797678 0.100316642
## native_country_peru 0.262243971 0.232025822
## native_country_philippines 0.183436934 0.060394856
## native_country_poland -0.058444133 0.125518100
## native_country_portugal 0.042991493 -0.044745886
## native_country_puerto_rico 0.168645308 0.009148974
## native_country_scotland -0.040671030 -0.009894322
## native_country_south 0.032402527 0.116478583
## native_country_taiwan -0.191339538 -0.005378481
## native_country_thailand -0.084541531 -0.167429983
## native_country_trinadad&tobago -0.044792896 -0.108005826
## native_country_united_states -0.003218219 0.003212346
## native_country_vietnam 0.109785482 0.008333739
## native_country_yugoslavia 0.086085887 -0.208058215
## PC69 PC70
## l_capital_gain -0.055651804 -0.04633549459
## l_capital_loss 0.181783510 0.00860345210
## age -0.017604790 -0.01360702780
## fnlwgt 0.034161928 -0.07665002698
## education_num -0.043275077 0.04425546065
## hours_per_week 0.048622909 0.08936694141
## workclass_federal_gov -0.004705650 -0.00438526285
## workclass_local_gov 0.044088479 0.05903679654
## workclass_private -0.047309767 0.06295579443
## workclass_self_emp_inc 0.181014014 -0.05955942382
## workclass_self_emp_not_inc -0.042535677 0.00007062976
## workclass_state_gov -0.070345823 -0.15036515028
## workclass_without_pay 0.124729891 -0.01122722120
## education_1st_4th -0.115591840 0.01587006493
## education_5th_6th 0.086774332 -0.00099605202
## education_7th_8th 0.022084647 -0.04037210061
## education_9th 0.259500277 0.08864542760
## education_10th -0.205539392 -0.02624242308
## education_11th 0.106868446 0.13009914338
## education_12th 0.025895185 -0.24650507939
## education_assoc_acdm -0.086653486 0.06350760793
## education_assoc_voc 0.142732313 0.15220374441
## education_bachelors -0.028803182 -0.04075863703
## education_doctorate 0.023436283 0.22457651870
## education_hs_grad -0.025576190 -0.04970315895
## education_masters -0.072484245 -0.08564284005
## education_preschool -0.104716909 -0.20641878245
## education_prof_school 0.043078443 -0.04777675744
## education_some_college -0.006137918 0.01726480267
## marital_status_divorced -0.069998356 -0.08191186711
## marital_status_married_af_spouse -0.085656915 -0.00338798704
## marital_status_married_civ_spouse -0.004990696 -0.01607461883
## marital_status_married_spouse_absent 0.025568078 0.21387406734
## marital_status_never_married 0.013739382 0.01167343540
## marital_status_separated 0.112722223 -0.00558732800
## marital_status_widowed 0.001034354 0.05128349076
## occupation_adm_clerical 0.006214725 0.10444580660
## occupation_armed_forces 0.011550230 0.07040698235
## occupation_craft_repair 0.072652395 -0.09185680272
## occupation_exec_managerial 0.005880626 0.03911290399
## occupation_farming_fishing -0.069875803 0.07287223480
## occupation_handlers_cleaners -0.046905367 -0.10568153350
## occupation_machine_op_inspct -0.057497050 0.08950220358
## occupation_other_service -0.058642285 0.09507581791
## occupation_priv_house_serv 0.059734995 -0.12410009012
## occupation_prof_specialty -0.016734210 -0.01325299917
## occupation_protective_serv -0.016912386 0.09595917753
## occupation_sales -0.006405477 -0.07573357335
## occupation_tech_support -0.013456548 -0.18060496620
## occupation_transport_moving 0.153704437 -0.02050518578
## relationship_husband -0.039173502 0.00585825836
## relationship_not_in_family 0.069505872 -0.04303000916
## relationship_other_relative -0.082092842 0.31177422216
## relationship_own_child 0.011925249 -0.04472422004
## relationship_unmarried -0.053526996 -0.01539388787
## relationship_wife 0.071730220 -0.07869323753
## race_amer_indian_eskimo 0.004572028 -0.07252065565
## race_asian_pac_islander 0.013174825 -0.00185552652
## race_black 0.015881614 -0.01811364722
## race_other 0.011110389 -0.07458815240
## race_white -0.023799321 0.05545346461
## sex_female 0.034473097 -0.00714719915
## sex_male -0.034473097 0.00714719915
## native_country_cambodia 0.107291009 0.05518362251
## native_country_canada -0.171639803 -0.05837784446
## native_country_china 0.113075174 -0.05340449057
## native_country_columbia -0.076066590 -0.05616811170
## native_country_cuba -0.169130565 0.04715864532
## native_country_dominican_republic 0.014919558 0.16251401536
## native_country_ecuador 0.172298447 -0.04715937951
## native_country_el_salvador -0.090407392 -0.01372305206
## native_country_england 0.134254405 0.08722325792
## native_country_france 0.127796125 0.03224212189
## native_country_germany 0.098107259 -0.01663106515
## native_country_greece -0.099442737 0.00758014079
## native_country_guatemala -0.152938981 0.03453587153
## native_country_haiti 0.064892740 0.15659558071
## native_country_holand_netherlands -0.018595971 -0.32439895075
## native_country_honduras -0.130982686 -0.02059439866
## native_country_hong -0.115308100 0.07196103544
## native_country_hungary -0.017754888 0.07549975523
## native_country_india 0.065988616 0.03638151753
## native_country_iran 0.177735312 -0.03812624671
## native_country_ireland -0.027692868 -0.17743335220
## native_country_italy 0.101293361 0.16941130261
## native_country_jamaica -0.091675559 -0.05041412276
## native_country_japan 0.077117281 0.16019856903
## native_country_laos -0.100881509 0.02985494444
## native_country_mexico 0.073481668 -0.08242371095
## native_country_nicaragua 0.054625446 0.04355728221
## native_country_outlying_us(guam_usvi_etc) -0.103360039 -0.00104130984
## native_country_peru 0.185046665 -0.04960076771
## native_country_philippines -0.024685326 -0.03877097265
## native_country_poland 0.062116570 -0.23056333150
## native_country_portugal 0.137257423 0.03121042877
## native_country_puerto_rico -0.281673823 -0.03766405220
## native_country_scotland 0.149219333 -0.11652523489
## native_country_south -0.141019582 0.10875097590
## native_country_taiwan -0.036381640 -0.02799939299
## native_country_thailand -0.064016745 -0.10196668208
## native_country_trinadad&tobago -0.288358400 0.12158072014
## native_country_united_states 0.011513027 0.02246341207
## native_country_vietnam 0.098286883 -0.13581097277
## native_country_yugoslavia 0.055727772 -0.00020023336
## PC71 PC72
## l_capital_gain -0.0485641172 0.02197309002
## l_capital_loss 0.0699516605 -0.04696014482
## age -0.0010987719 -0.00996254222
## fnlwgt -0.0858171381 0.02815704034
## education_num -0.0159423642 -0.00470098097
## hours_per_week 0.0330379403 -0.02154113740
## workclass_federal_gov -0.0599957184 0.03364772428
## workclass_local_gov 0.0072848429 0.08663181956
## workclass_private 0.0528013782 0.02359040430
## workclass_self_emp_inc -0.0308289225 -0.09958223242
## workclass_self_emp_not_inc -0.0334390857 0.04406220545
## workclass_state_gov -0.0024191448 -0.16534431911
## workclass_without_pay 0.0394275023 0.08640377578
## education_1st_4th -0.0293399519 0.15033748910
## education_5th_6th -0.0608888118 -0.17748538247
## education_7th_8th -0.0042910943 -0.17095470116
## education_9th -0.2340674097 0.23247546256
## education_10th -0.0239930532 -0.09706534244
## education_11th 0.1629185800 0.08623293814
## education_12th 0.2638853909 -0.03040479371
## education_assoc_acdm -0.0097292740 0.03055892463
## education_assoc_voc 0.0492428770 -0.18768100287
## education_bachelors -0.0094097052 0.12050049548
## education_doctorate 0.1492960690 0.02977851151
## education_hs_grad -0.0485066475 0.00075856051
## education_masters -0.1355908176 -0.18242324074
## education_preschool 0.2723438012 0.16421064369
## education_prof_school -0.0072751960 0.04648332660
## education_some_college 0.0095345702 0.04397210856
## marital_status_divorced -0.0305348121 -0.03080939011
## marital_status_married_af_spouse -0.2324084717 0.09308433726
## marital_status_married_civ_spouse 0.0451384936 -0.00479938364
## marital_status_married_spouse_absent -0.0448866676 0.07100545261
## marital_status_never_married -0.0701665277 -0.02750849241
## marital_status_separated 0.2770262619 0.03342910862
## marital_status_widowed -0.0977557078 0.05938737783
## occupation_adm_clerical 0.0538921902 -0.01234498376
## occupation_armed_forces 0.1923121053 0.01034774621
## occupation_craft_repair -0.0208577534 -0.00951799505
## occupation_exec_managerial -0.0035775935 0.01110578228
## occupation_farming_fishing 0.0528525679 0.01657209913
## occupation_handlers_cleaners 0.1304324950 -0.01679579043
## occupation_machine_op_inspct -0.0081943127 0.05280211189
## occupation_other_service -0.0064917271 0.01925262478
## occupation_priv_house_serv 0.0499718269 0.00010262586
## occupation_prof_specialty -0.0132830584 0.00659227347
## occupation_protective_serv 0.1525046561 0.04736992195
## occupation_sales -0.0291847713 -0.16141901543
## occupation_tech_support -0.1785957629 0.14730300517
## occupation_transport_moving -0.1172365528 0.01099101280
## relationship_husband -0.0061328750 0.00398602285
## relationship_not_in_family 0.1235371973 0.01785750618
## relationship_other_relative -0.0107852609 -0.18480923824
## relationship_own_child -0.1111551767 0.01877872311
## relationship_unmarried -0.0937428101 0.04609975190
## relationship_wife 0.0900023578 0.00396058463
## race_amer_indian_eskimo -0.0152003882 0.03089655333
## race_asian_pac_islander 0.0118274041 0.01342186397
## race_black -0.0359266009 -0.03204883841
## race_other -0.0287800539 -0.03070407487
## race_white 0.0360446290 0.01953055835
## sex_female 0.0199513613 -0.00618929490
## sex_male -0.0199513613 0.00618929490
## native_country_cambodia -0.1499959653 -0.01846064625
## native_country_canada -0.0843183419 0.00080522318
## native_country_china -0.1370576412 0.08212169767
## native_country_columbia 0.0484398847 -0.10135425012
## native_country_cuba -0.0116275740 0.03570078547
## native_country_dominican_republic -0.0939737415 -0.10120897481
## native_country_ecuador 0.0462659392 0.30159089851
## native_country_el_salvador 0.0194084863 -0.09766944167
## native_country_england -0.0341780987 -0.10754724966
## native_country_france 0.0799283637 -0.07008650082
## native_country_germany -0.0862857215 -0.05984979152
## native_country_greece 0.0915067441 0.29966812108
## native_country_guatemala -0.0691793001 0.06415167670
## native_country_haiti -0.0361269831 -0.11341557847
## native_country_holand_netherlands -0.0465466119 0.11945359369
## native_country_honduras -0.0757416172 0.14247253426
## native_country_hong -0.2362474015 0.03879437993
## native_country_hungary 0.0880705504 -0.04485988142
## native_country_india 0.1277136112 0.13086990057
## native_country_iran 0.0914379491 0.00962917421
## native_country_ireland -0.0895914853 -0.03130940288
## native_country_italy -0.1246525869 0.23974877684
## native_country_jamaica 0.1113715305 0.06476449635
## native_country_japan 0.0463620501 -0.00913501368
## native_country_laos -0.1392892468 -0.00641033960
## native_country_mexico 0.0144720388 0.01912488864
## native_country_nicaragua -0.0407437416 0.04155094164
## native_country_outlying_us(guam_usvi_etc) 0.0540512386 -0.08138016058
## native_country_peru 0.0240006313 -0.02062784730
## native_country_philippines 0.0196746509 -0.25237368355
## native_country_poland 0.0089799831 -0.04211818624
## native_country_portugal 0.0623580168 -0.13653688501
## native_country_puerto_rico -0.0450496491 -0.13804798435
## native_country_scotland -0.1383966168 0.02111874985
## native_country_south 0.1087343890 0.17962595859
## native_country_taiwan 0.0173180662 0.16231233639
## native_country_thailand 0.0003983698 -0.02420759540
## native_country_trinadad&tobago 0.2203100161 0.05362162787
## native_country_united_states 0.0061106563 0.00007992183
## native_country_vietnam 0.1235104237 -0.04087464904
## native_country_yugoslavia 0.1163475566 -0.05702318635
## PC73 PC74
## l_capital_gain 0.055359779 -0.047512947
## l_capital_loss 0.023714272 0.005524682
## age 0.024844945 -0.027160712
## fnlwgt 0.196973190 0.093365699
## education_num 0.028829659 0.002145341
## hours_per_week 0.002283040 0.073865188
## workclass_federal_gov 0.010738617 -0.134424916
## workclass_local_gov 0.001373589 -0.087248505
## workclass_private 0.013328718 0.070481222
## workclass_self_emp_inc -0.101464107 -0.028839528
## workclass_self_emp_not_inc 0.134194228 -0.040963753
## workclass_state_gov -0.125218644 0.153371160
## workclass_without_pay -0.040934000 -0.001559198
## education_1st_4th 0.162111560 0.199318746
## education_5th_6th -0.033864480 -0.279911106
## education_7th_8th -0.165051885 0.144780057
## education_9th -0.082540634 0.147982804
## education_10th 0.018824050 0.013962493
## education_11th 0.023576642 -0.127454529
## education_12th 0.300413074 -0.144151942
## education_assoc_acdm -0.007171774 0.122547926
## education_assoc_voc 0.023278498 0.171167694
## education_bachelors -0.038596324 -0.034958773
## education_doctorate 0.111758270 -0.092664246
## education_hs_grad -0.015609876 -0.024114195
## education_masters -0.094881609 0.013693493
## education_preschool -0.268479669 0.064297443
## education_prof_school 0.003573211 0.083245552
## education_some_college 0.050857377 -0.060082225
## marital_status_divorced 0.059446174 0.049356571
## marital_status_married_af_spouse -0.164089654 -0.029866013
## marital_status_married_civ_spouse 0.017475123 0.010685210
## marital_status_married_spouse_absent 0.053121267 -0.301636915
## marital_status_never_married -0.037625592 0.034449879
## marital_status_separated -0.066979798 -0.012896560
## marital_status_widowed -0.009235259 -0.014284666
## occupation_adm_clerical -0.014959708 0.050078771
## occupation_armed_forces -0.090034682 0.230656640
## occupation_craft_repair -0.089956227 -0.064293733
## occupation_exec_managerial 0.058738280 0.062891716
## occupation_farming_fishing 0.095213080 0.078124334
## occupation_handlers_cleaners 0.073512913 -0.015499627
## occupation_machine_op_inspct 0.066157052 -0.152646278
## occupation_other_service 0.011848295 0.071099170
## occupation_priv_house_serv 0.000407267 0.031874520
## occupation_prof_specialty -0.074460720 -0.014949296
## occupation_protective_serv 0.096513697 0.093269545
## occupation_sales -0.013786084 0.048551128
## occupation_tech_support -0.054118904 -0.284017985
## occupation_transport_moving -0.045294475 0.037621688
## relationship_husband -0.033129049 0.015686537
## relationship_not_in_family 0.054856972 -0.049147407
## relationship_other_relative 0.030391597 0.136916719
## relationship_own_child -0.035339018 -0.021345728
## relationship_unmarried -0.065063079 0.017798670
## relationship_wife 0.093479213 -0.035326351
## race_amer_indian_eskimo -0.045462951 0.028268988
## race_asian_pac_islander 0.005460674 0.003478663
## race_black 0.091656854 0.011888021
## race_other -0.028731151 0.014659866
## race_white -0.059505317 -0.023339824
## sex_female -0.002989238 0.007492142
## sex_male 0.002989238 -0.007492142
## native_country_cambodia -0.021355576 -0.092620445
## native_country_canada 0.141324339 0.062533923
## native_country_china 0.094418692 0.045925147
## native_country_columbia -0.056882399 0.030368139
## native_country_cuba -0.151579426 -0.106540631
## native_country_dominican_republic -0.177271995 -0.045120932
## native_country_ecuador 0.018160344 0.028249516
## native_country_el_salvador 0.270375182 -0.062562601
## native_country_england -0.057234379 0.011584071
## native_country_france 0.058836825 0.093592683
## native_country_germany 0.038212023 0.002277543
## native_country_greece 0.175077085 -0.039267239
## native_country_guatemala -0.091177514 -0.072089578
## native_country_haiti -0.053854986 -0.086378413
## native_country_holand_netherlands -0.018032172 -0.009733810
## native_country_honduras -0.042592006 0.122914873
## native_country_hong 0.127268388 -0.113508286
## native_country_hungary -0.013065146 0.063347232
## native_country_india 0.156499772 0.034936115
## native_country_iran -0.003724180 0.031338147
## native_country_ireland 0.125780763 0.048812515
## native_country_italy -0.020044161 0.238649263
## native_country_jamaica -0.328676547 -0.047353643
## native_country_japan -0.077729594 -0.046263559
## native_country_laos 0.083137547 0.178387087
## native_country_mexico -0.086489231 0.037638211
## native_country_nicaragua 0.014170952 -0.034636659
## native_country_outlying_us(guam_usvi_etc) -0.057469759 -0.121334829
## native_country_peru -0.019297971 -0.006526556
## native_country_philippines 0.038001020 0.068474303
## native_country_poland 0.095459742 0.197971189
## native_country_portugal 0.107367524 -0.276639104
## native_country_puerto_rico 0.143088491 0.003476167
## native_country_scotland 0.038175019 -0.014651611
## native_country_south -0.132102564 -0.055048805
## native_country_taiwan 0.013505043 -0.018423163
## native_country_thailand -0.147339328 -0.117284297
## native_country_trinadad&tobago -0.108918204 -0.030641249
## native_country_united_states 0.019182170 -0.008752666
## native_country_vietnam -0.169643348 -0.017890437
## native_country_yugoslavia 0.003558159 -0.035095332
## PC75 PC76
## l_capital_gain 0.09369694624 0.009822580
## l_capital_loss 0.05838693133 -0.081044030
## age -0.00715202312 0.021054942
## fnlwgt 0.09291949477 -0.205464861
## education_num 0.00440287266 0.053496991
## hours_per_week 0.04965966707 0.006792129
## workclass_federal_gov -0.14898549235 -0.022531301
## workclass_local_gov -0.02264051000 0.025027904
## workclass_private 0.03652634969 0.054708283
## workclass_self_emp_inc -0.00907959091 -0.122981330
## workclass_self_emp_not_inc 0.01980123389 0.066224755
## workclass_state_gov 0.07669761842 -0.110522246
## workclass_without_pay -0.17943191820 0.027023530
## education_1st_4th -0.00390692995 -0.117751848
## education_5th_6th 0.04266487182 0.304716979
## education_7th_8th 0.11490645784 -0.203872665
## education_9th 0.01602317807 -0.063897397
## education_10th -0.02154436409 0.017721679
## education_11th -0.15065372806 -0.041290558
## education_12th -0.14211771155 -0.157112822
## education_assoc_acdm 0.10533710626 0.101831609
## education_assoc_voc 0.09242672860 0.011058950
## education_bachelors -0.07339640921 0.036060654
## education_doctorate 0.12906152482 0.110971497
## education_hs_grad 0.04002503492 0.009339547
## education_masters -0.00844416796 -0.128690276
## education_preschool -0.01573672203 -0.061714489
## education_prof_school -0.04178006137 -0.028244668
## education_some_college -0.02169828283 0.049869227
## marital_status_divorced -0.06610121828 0.047358739
## marital_status_married_af_spouse -0.08352452215 -0.010053995
## marital_status_married_civ_spouse -0.00797006649 0.012110862
## marital_status_married_spouse_absent 0.35005569254 -0.329890518
## marital_status_never_married 0.01495240428 0.015295091
## marital_status_separated -0.12066382193 -0.028335321
## marital_status_widowed 0.02795380812 0.071413212
## occupation_adm_clerical -0.12872261167 -0.048921896
## occupation_armed_forces 0.33869367961 0.143508032
## occupation_craft_repair 0.02175467950 -0.026484788
## occupation_exec_managerial 0.07143111481 0.065235937
## occupation_farming_fishing 0.00385932142 0.067631803
## occupation_handlers_cleaners 0.10386346435 0.108950258
## occupation_machine_op_inspct -0.04835496267 -0.145175209
## occupation_other_service -0.02404161710 0.080303628
## occupation_priv_house_serv 0.07967900008 0.141359313
## occupation_prof_specialty -0.00060903647 -0.016229801
## occupation_protective_serv 0.05644597156 0.087678923
## occupation_sales 0.00677959730 -0.066310721
## occupation_tech_support -0.08277978819 -0.159233542
## occupation_transport_moving 0.00143333151 0.040348852
## relationship_husband -0.02198385147 0.020911917
## relationship_not_in_family -0.01253834698 0.014570922
## relationship_other_relative -0.36354090789 -0.175660267
## relationship_own_child 0.13118227572 0.036117926
## relationship_unmarried 0.06374462643 0.006667432
## relationship_wife 0.05789165373 -0.007702377
## race_amer_indian_eskimo -0.03783243619 -0.197656781
## race_asian_pac_islander 0.01324125226 0.015611678
## race_black 0.02685124198 0.029132178
## race_other -0.00083357708 0.217648494
## race_white -0.01807297349 -0.031596160
## sex_female 0.02400155965 0.006763600
## sex_male -0.02400155965 -0.006763600
## native_country_cambodia 0.08360879627 0.132141796
## native_country_canada -0.01490523129 -0.034617328
## native_country_china -0.15012008073 0.119475681
## native_country_columbia -0.01697564154 0.058950991
## native_country_cuba 0.03674573530 0.054032059
## native_country_dominican_republic -0.08734429398 0.162592069
## native_country_ecuador 0.16285168717 -0.091585882
## native_country_el_salvador 0.04189360574 -0.109772622
## native_country_england -0.07045914435 -0.155714447
## native_country_france -0.10341886538 -0.030886588
## native_country_germany 0.00005524038 -0.016247529
## native_country_greece 0.01000736158 0.011746136
## native_country_guatemala -0.05095404446 0.018395630
## native_country_haiti -0.00458778953 0.122613626
## native_country_holand_netherlands 0.15652300827 0.086316252
## native_country_honduras -0.00982984519 0.011616650
## native_country_hong 0.01126191231 0.054933993
## native_country_hungary -0.02659592184 -0.001567632
## native_country_india -0.08833128916 0.092610715
## native_country_iran -0.03430711108 -0.165099611
## native_country_ireland 0.00984960822 0.045202925
## native_country_italy 0.04588080654 -0.033555069
## native_country_jamaica -0.06653652116 -0.004470128
## native_country_japan -0.03388696337 -0.114306572
## native_country_laos -0.09677056176 0.019261198
## native_country_mexico -0.03012514637 0.014629529
## native_country_nicaragua 0.18784559751 0.001318466
## native_country_outlying_us(guam_usvi_etc) 0.01750045642 -0.076918272
## native_country_peru -0.05086568916 0.050952576
## native_country_philippines 0.21084960601 -0.113692780
## native_country_poland -0.19865057032 0.204479273
## native_country_portugal 0.01120865021 0.189055794
## native_country_puerto_rico 0.07654525270 -0.090044875
## native_country_scotland 0.07982682156 -0.081232581
## native_country_south 0.02220693801 -0.006024694
## native_country_taiwan -0.15524300128 -0.026847766
## native_country_thailand -0.11013189795 -0.015359303
## native_country_trinadad&tobago 0.07811526952 0.012633346
## native_country_united_states 0.02386665234 -0.001132554
## native_country_vietnam 0.11104142319 -0.023350358
## native_country_yugoslavia -0.05918334792 -0.090502859
## PC77 PC78
## l_capital_gain -0.030084374 -0.0020967052
## l_capital_loss -0.006522211 -0.0591612244
## age 0.008259005 -0.0259367612
## fnlwgt -0.130491010 -0.1324705579
## education_num 0.002155613 -0.0242742932
## hours_per_week -0.077550285 0.0553046723
## workclass_federal_gov -0.006959228 -0.1845443375
## workclass_local_gov -0.153628337 0.0431027493
## workclass_private 0.035754565 -0.0037503976
## workclass_self_emp_inc -0.122877222 0.1233273023
## workclass_self_emp_not_inc 0.022572824 -0.0313910220
## workclass_state_gov 0.199473201 0.0415590688
## workclass_without_pay 0.025588197 -0.0016086057
## education_1st_4th 0.007324500 0.1330263234
## education_5th_6th 0.087130724 -0.0561264480
## education_7th_8th -0.047055407 -0.0538024560
## education_9th -0.027073708 -0.0764300884
## education_10th -0.005990945 0.1370767210
## education_11th 0.026080505 0.1159786258
## education_12th 0.016665795 0.0102142281
## education_assoc_acdm 0.056346838 0.0051012823
## education_assoc_voc 0.116669893 -0.1836101551
## education_bachelors 0.024797596 0.0353043739
## education_doctorate -0.463785556 -0.0235403434
## education_hs_grad -0.030490670 -0.0244053938
## education_masters -0.005093496 -0.0230850827
## education_preschool -0.150167804 -0.1392290099
## education_prof_school 0.303802377 0.0167986115
## education_some_college -0.038941117 0.0332461750
## marital_status_divorced -0.049934145 0.0086790562
## marital_status_married_af_spouse 0.040068058 0.0207283713
## marital_status_married_civ_spouse 0.008700875 -0.0260512604
## marital_status_married_spouse_absent 0.175735347 -0.0312171059
## marital_status_never_married -0.049344148 0.0258165914
## marital_status_separated 0.081719165 -0.0151070413
## marital_status_widowed 0.008740346 0.0206616321
## occupation_adm_clerical 0.090641501 -0.0641154106
## occupation_armed_forces 0.011649193 0.2025913653
## occupation_craft_repair -0.099371083 0.1923725126
## occupation_exec_managerial 0.007962424 0.0214255328
## occupation_farming_fishing -0.022835505 0.0691803929
## occupation_handlers_cleaners 0.097818707 -0.0370535044
## occupation_machine_op_inspct 0.003155617 0.0317885299
## occupation_other_service 0.013291222 -0.3235085306
## occupation_priv_house_serv 0.058260443 0.3563737827
## occupation_prof_specialty -0.031558792 0.0154749853
## occupation_protective_serv 0.170276725 0.0340276007
## occupation_sales 0.027677607 -0.1469560261
## occupation_tech_support -0.195001720 0.2091057101
## occupation_transport_moving -0.059782846 0.0346824907
## relationship_husband 0.033947388 -0.0487299935
## relationship_not_in_family 0.061810111 -0.0477947808
## relationship_other_relative -0.112230768 0.1331367145
## relationship_own_child -0.035090259 0.0299769628
## relationship_unmarried -0.012175019 0.0141897245
## relationship_wife -0.040647197 0.0347977841
## race_amer_indian_eskimo -0.018970780 -0.0324124810
## race_asian_pac_islander 0.005886067 0.0180035872
## race_black -0.007102531 -0.0064498852
## race_other -0.046267757 -0.0609498912
## race_white 0.020208691 0.0213250250
## sex_female -0.028289640 0.0324246862
## sex_male 0.028289640 -0.0324246862
## native_country_cambodia 0.060204320 -0.0291656941
## native_country_canada 0.151916387 0.0519751461
## native_country_china 0.179129239 0.1102098609
## native_country_columbia -0.073344141 -0.0369101042
## native_country_cuba -0.062697133 0.0453971506
## native_country_dominican_republic 0.026227936 0.0525662285
## native_country_ecuador 0.020672532 -0.0447348447
## native_country_el_salvador 0.036575466 -0.0111451322
## native_country_england 0.065325264 -0.0893815676
## native_country_france 0.090995311 -0.1002592907
## native_country_germany -0.014489702 -0.0012764840
## native_country_greece 0.011030232 -0.0153834706
## native_country_guatemala -0.059146668 -0.4326747654
## native_country_haiti 0.082871456 0.1830505732
## native_country_holand_netherlands 0.036420022 -0.0583390870
## native_country_honduras -0.097619827 -0.1056123732
## native_country_hong 0.123335739 0.0188500110
## native_country_hungary -0.044023670 -0.0823910773
## native_country_india -0.194772811 -0.0121362333
## native_country_iran 0.150024714 0.0913660947
## native_country_ireland -0.054347048 -0.0158959387
## native_country_italy -0.099769218 0.0226168086
## native_country_jamaica 0.054264323 0.0748256515
## native_country_japan -0.045518314 0.0713173815
## native_country_laos -0.048369763 0.0601982191
## native_country_mexico -0.017304462 0.0406580932
## native_country_nicaragua 0.130045880 -0.0774501530
## native_country_outlying_us(guam_usvi_etc) -0.021999666 0.0452870826
## native_country_peru -0.007665594 0.1054736561
## native_country_philippines -0.197634575 -0.0088871686
## native_country_poland -0.116751317 -0.0418868926
## native_country_portugal -0.014946935 -0.1220314209
## native_country_puerto_rico -0.002525260 0.1100207131
## native_country_scotland -0.086811132 0.0378917557
## native_country_south 0.041330602 0.0065693011
## native_country_taiwan 0.271017313 -0.0385227505
## native_country_thailand -0.014674415 -0.0477002124
## native_country_trinadad&tobago 0.048258384 0.0606946786
## native_country_united_states -0.006937970 -0.0007336352
## native_country_vietnam 0.032080146 -0.0964608783
## native_country_yugoslavia -0.017089569 -0.0035628987
## PC79 PC80
## l_capital_gain 0.041385142 -0.262707573
## l_capital_loss 0.061052685 -0.219173635
## age -0.006463067 -0.006342627
## fnlwgt 0.268317899 0.046231390
## education_num 0.039271248 0.005144604
## hours_per_week 0.017197566 0.007237893
## workclass_federal_gov -0.252249784 -0.273846579
## workclass_local_gov -0.037993236 0.107455419
## workclass_private 0.021273421 -0.051067405
## workclass_self_emp_inc -0.121525230 0.214315425
## workclass_self_emp_not_inc 0.124994338 -0.008929558
## workclass_state_gov 0.152063635 0.027645647
## workclass_without_pay 0.058044289 -0.018446336
## education_1st_4th -0.253395507 0.110457401
## education_5th_6th 0.039913812 0.021043927
## education_7th_8th -0.223498545 -0.035009715
## education_9th 0.007310435 -0.037500523
## education_10th 0.021834353 -0.070783317
## education_11th 0.132258418 0.040361522
## education_12th -0.005479686 0.041882094
## education_assoc_acdm 0.023031863 0.016001585
## education_assoc_voc -0.031392167 0.029496334
## education_bachelors -0.025678969 0.083264013
## education_doctorate -0.092830914 -0.069558257
## education_hs_grad -0.010066997 -0.041791964
## education_masters -0.030558123 -0.082992645
## education_preschool 0.244987259 -0.160841453
## education_prof_school 0.148400711 -0.055311000
## education_some_college 0.047836103 0.044943888
## marital_status_divorced -0.064339930 -0.050614581
## marital_status_married_af_spouse 0.006000218 0.008557062
## marital_status_married_civ_spouse -0.019194679 0.009035952
## marital_status_married_spouse_absent 0.038849962 -0.124696298
## marital_status_never_married 0.019122103 -0.015764502
## marital_status_separated -0.117934433 0.017968169
## marital_status_widowed 0.235356282 0.185491415
## occupation_adm_clerical -0.023111495 0.063313366
## occupation_armed_forces 0.205390001 0.238381859
## occupation_craft_repair 0.058209808 0.060723961
## occupation_exec_managerial 0.127532558 -0.038772608
## occupation_farming_fishing -0.018782692 0.012447808
## occupation_handlers_cleaners -0.046342611 0.125193946
## occupation_machine_op_inspct 0.007081429 0.137132635
## occupation_other_service -0.168125887 -0.110463946
## occupation_priv_house_serv -0.118542240 -0.387633880
## occupation_prof_specialty -0.057068602 0.050218230
## occupation_protective_serv 0.047649610 -0.207216457
## occupation_sales -0.050120875 -0.094192893
## occupation_tech_support 0.078858758 0.001873735
## occupation_transport_moving 0.124505811 0.047178720
## relationship_husband -0.032186415 -0.010915500
## relationship_not_in_family -0.062041366 0.042435566
## relationship_other_relative 0.193324530 -0.136580917
## relationship_own_child -0.036284082 -0.048205757
## relationship_unmarried 0.067522816 0.042632978
## relationship_wife 0.010405339 0.066445949
## race_amer_indian_eskimo 0.119896607 0.052373642
## race_asian_pac_islander -0.019966888 0.013653998
## race_black -0.004903603 -0.052400712
## race_other 0.029199981 0.034447325
## race_white -0.027413678 0.013923924
## sex_female 0.018739124 -0.002492897
## sex_male -0.018739124 0.002492897
## native_country_cambodia -0.077711969 0.011893235
## native_country_canada 0.082399845 -0.069120348
## native_country_china 0.068595732 0.082678188
## native_country_columbia -0.058656601 0.003287960
## native_country_cuba 0.047115270 -0.046680934
## native_country_dominican_republic 0.122176484 -0.059273754
## native_country_ecuador -0.076409182 -0.014571289
## native_country_el_salvador -0.007716674 0.242171572
## native_country_england 0.001199693 0.068395661
## native_country_france 0.038220180 0.060460661
## native_country_germany -0.029959008 -0.044915604
## native_country_greece 0.025593974 -0.035971727
## native_country_guatemala 0.126552198 0.236614091
## native_country_haiti -0.171878684 0.179487268
## native_country_holand_netherlands -0.061197316 0.044575890
## native_country_honduras -0.044632820 0.019112631
## native_country_hong -0.086121704 0.019752453
## native_country_hungary -0.076799862 0.022552162
## native_country_india -0.124294840 0.058300526
## native_country_iran -0.006439619 -0.021602865
## native_country_ireland 0.039421168 -0.022386842
## native_country_italy 0.118818308 -0.126181127
## native_country_jamaica -0.108155175 0.130150272
## native_country_japan 0.004534775 -0.014627297
## native_country_laos -0.071568268 -0.012021313
## native_country_mexico -0.057724518 -0.088386088
## native_country_nicaragua -0.156673360 0.049407886
## native_country_outlying_us(guam_usvi_etc) -0.013303634 -0.050382443
## native_country_peru -0.035777322 -0.007742880
## native_country_philippines 0.045109218 0.014341078
## native_country_poland 0.036080718 0.008520422
## native_country_portugal 0.304664616 -0.145719499
## native_country_puerto_rico 0.024239664 -0.037663338
## native_country_scotland 0.010499717 -0.003933869
## native_country_south -0.020448386 -0.052079702
## native_country_taiwan 0.038064319 -0.017957569
## native_country_thailand 0.031978023 -0.011721941
## native_country_trinadad&tobago 0.010885424 0.014357348
## native_country_united_states -0.009307808 -0.023831141
## native_country_vietnam 0.035924481 -0.045617687
## native_country_yugoslavia -0.004278158 0.018057979
## PC81 PC82
## l_capital_gain 0.3615441710 -0.3708235908
## l_capital_loss 0.3211211337 -0.2770133186
## age 0.0055950955 0.0044061089
## fnlwgt -0.1149243868 -0.1135097860
## education_num -0.0505659426 0.0351547557
## hours_per_week 0.1231121046 0.0512629477
## workclass_federal_gov -0.1071652310 -0.0391205892
## workclass_local_gov -0.0324420164 -0.0070246952
## workclass_private 0.1265783758 0.0424481300
## workclass_self_emp_inc 0.0222646964 0.2468320639
## workclass_self_emp_not_inc -0.1812019475 -0.1980619562
## workclass_state_gov 0.0909041891 -0.0024470781
## workclass_without_pay -0.0618280008 -0.0437013646
## education_1st_4th -0.0031136749 -0.0717156146
## education_5th_6th -0.0042829479 -0.0225594553
## education_7th_8th -0.0050043953 -0.0887182825
## education_9th 0.0803014259 -0.0258803403
## education_10th 0.0835084558 -0.0421797812
## education_11th 0.1551442197 0.0478607349
## education_12th 0.0685292877 -0.0314962054
## education_assoc_acdm -0.0730283133 0.0210274008
## education_assoc_voc -0.2067878807 -0.0508992897
## education_bachelors 0.0064487642 0.0246931034
## education_doctorate -0.0090422782 -0.1004044603
## education_hs_grad 0.0142416236 -0.0179727476
## education_masters 0.1223755227 0.0558396931
## education_preschool -0.1375643253 0.1289217889
## education_prof_school -0.0319901526 -0.0507569609
## education_some_college -0.0719974511 0.0705524393
## marital_status_divorced -0.0105108074 -0.0126556842
## marital_status_married_af_spouse 0.0315363320 0.0101036553
## marital_status_married_civ_spouse -0.0089279335 0.0539719750
## marital_status_married_spouse_absent -0.0149345411 0.1732861238
## marital_status_never_married 0.0155026405 -0.0423367480
## marital_status_separated -0.0060436958 -0.0998004736
## marital_status_widowed 0.0162754234 -0.0283187707
## occupation_adm_clerical 0.2009444514 0.0106062581
## occupation_armed_forces 0.1019434197 0.0418272973
## occupation_craft_repair 0.0076982512 -0.0305802501
## occupation_exec_managerial -0.1348535663 -0.1733502331
## occupation_farming_fishing 0.3331684584 0.2256515658
## occupation_handlers_cleaners -0.0958868062 0.0375526338
## occupation_machine_op_inspct -0.1575787096 -0.0485815314
## occupation_other_service 0.0187263489 0.1371704324
## occupation_priv_house_serv -0.1982758079 0.1353575869
## occupation_prof_specialty -0.0557816547 0.1160728614
## occupation_protective_serv 0.1551336519 -0.1103677916
## occupation_sales -0.0357215827 -0.0814996236
## occupation_tech_support 0.1560427703 -0.0056956892
## occupation_transport_moving -0.1621908614 -0.0856435766
## relationship_husband 0.0065974377 0.0563096414
## relationship_not_in_family 0.0228013837 0.0370499410
## relationship_other_relative -0.0836486805 0.0535365972
## relationship_own_child -0.0025479468 -0.1223839398
## relationship_unmarried 0.0216181938 -0.0284752706
## relationship_wife -0.0226396260 -0.0048437663
## race_amer_indian_eskimo -0.0287374925 -0.1902055205
## race_asian_pac_islander -0.0141726368 -0.0277739249
## race_black 0.0128749966 0.1534535581
## race_other 0.1927575873 0.1374717363
## race_white -0.0448105347 -0.0967993346
## sex_female -0.0009668463 -0.0168583264
## sex_male 0.0009668463 0.0168583264
## native_country_cambodia 0.0493793758 0.0039958131
## native_country_canada 0.0163177728 0.0926118770
## native_country_china -0.0141352600 -0.0457822732
## native_country_columbia 0.0366349380 0.0181748757
## native_country_cuba 0.0540256411 0.1009705617
## native_country_dominican_republic -0.1067124712 -0.1101302895
## native_country_ecuador -0.0626418325 -0.0930443903
## native_country_el_salvador 0.1220713427 -0.0410522139
## native_country_england 0.0216708993 0.1055142924
## native_country_france 0.0064061682 -0.0227490767
## native_country_germany 0.0214482898 0.1135614100
## native_country_greece 0.0180481527 0.0684890113
## native_country_guatemala 0.1048376208 -0.0582678968
## native_country_haiti 0.0443922590 -0.2769151860
## native_country_holand_netherlands -0.0129781634 0.0363042142
## native_country_honduras 0.0062984965 -0.0001604121
## native_country_hong -0.0303281635 0.0149228343
## native_country_hungary 0.0654464445 0.0412379226
## native_country_india -0.1181371786 -0.0977935654
## native_country_iran 0.0014669062 0.0332843417
## native_country_ireland -0.0093556574 0.0062804084
## native_country_italy 0.0132189470 0.0791490326
## native_country_jamaica -0.0214624985 -0.2617067343
## native_country_japan -0.0193005026 0.0150595440
## native_country_laos 0.0731248446 -0.0077722613
## native_country_mexico -0.0425124407 -0.0335881954
## native_country_nicaragua 0.0560647142 0.0039006092
## native_country_outlying_us(guam_usvi_etc) 0.0366171260 -0.0319392413
## native_country_peru 0.0203857977 0.0016400995
## native_country_philippines -0.0141819022 -0.0383120280
## native_country_poland 0.0939683057 -0.0133498311
## native_country_portugal -0.0315043336 0.0859632474
## native_country_puerto_rico -0.1857672610 -0.0517203677
## native_country_scotland 0.0033284384 0.0083701985
## native_country_south 0.0915237053 0.0496525974
## native_country_taiwan -0.0167588715 -0.0059728227
## native_country_thailand 0.0314319889 -0.0460366824
## native_country_trinadad&tobago -0.0712064574 -0.0989604380
## native_country_united_states -0.0018608294 0.0614006195
## native_country_vietnam -0.0167087754 0.0502591964
## native_country_yugoslavia 0.0557046627 0.0603076934
## PC83 PC84
## l_capital_gain 0.1432914589 -0.27174093959
## l_capital_loss 0.1041227094 -0.21449543902
## age 0.0123013421 -0.13641376751
## fnlwgt -0.3656746519 0.09320466065
## education_num -0.0283047742 -0.00408878319
## hours_per_week -0.0889797402 0.30789825100
## workclass_federal_gov 0.0033449013 0.30439559683
## workclass_local_gov 0.0358466054 -0.15913200100
## workclass_private -0.0635195563 0.04320102419
## workclass_self_emp_inc -0.0846900096 -0.08893891877
## workclass_self_emp_not_inc 0.1219958333 -0.04591254016
## workclass_state_gov -0.0005385016 -0.01448256583
## workclass_without_pay 0.0224421232 0.03131889895
## education_1st_4th 0.1948871380 -0.07258978474
## education_5th_6th -0.0430574663 -0.13670696587
## education_7th_8th 0.0290873199 0.07762150600
## education_9th -0.0216052180 0.00706915730
## education_10th -0.0388174514 0.06415930919
## education_11th -0.0847599548 0.11789877951
## education_12th -0.0132598212 0.05282469843
## education_assoc_acdm 0.0506800389 -0.09352713014
## education_assoc_voc 0.0633273798 -0.05922327363
## education_bachelors 0.0211895863 -0.10978202431
## education_doctorate -0.0160737821 0.07993593811
## education_hs_grad -0.0317522118 0.02221638231
## education_masters -0.0698878149 0.04741667534
## education_preschool 0.1359145609 -0.06957045022
## education_prof_school -0.0072436814 0.15028016932
## education_some_college 0.0270926820 -0.01904014524
## marital_status_divorced -0.0044739872 -0.12835666547
## marital_status_married_af_spouse -0.0186246925 -0.08728416739
## marital_status_married_civ_spouse -0.0457146214 0.01737617978
## marital_status_married_spouse_absent 0.1061774435 0.00691214317
## marital_status_never_married 0.0217475969 0.04229614328
## marital_status_separated 0.0309499326 -0.05889454173
## marital_status_widowed -0.0142513110 0.16779641140
## occupation_adm_clerical -0.1397746119 -0.20651698109
## occupation_armed_forces 0.0220985641 -0.16327139542
## occupation_craft_repair 0.1329873041 0.05168876423
## occupation_exec_managerial 0.0946110837 0.12231001128
## occupation_farming_fishing -0.2531070464 0.00168935231
## occupation_handlers_cleaners 0.0436802257 -0.02819192384
## occupation_machine_op_inspct 0.1343768595 -0.07175129647
## occupation_other_service -0.1790352051 -0.09215028646
## occupation_priv_house_serv -0.1746946041 -0.05615599990
## occupation_prof_specialty 0.0064256093 0.03034229577
## occupation_protective_serv -0.0262561121 0.27567737024
## occupation_sales 0.0373432697 0.06136526743
## occupation_tech_support -0.0612942878 0.01037710625
## occupation_transport_moving 0.1757739752 -0.02155189923
## relationship_husband -0.0747033002 -0.01746363588
## relationship_not_in_family -0.0586245929 -0.02467425259
## relationship_other_relative 0.1193607566 -0.06863581259
## relationship_own_child 0.0753800815 -0.06843630499
## relationship_unmarried 0.0160414615 0.12466425601
## relationship_wife 0.0502665133 0.08059321080
## race_amer_indian_eskimo -0.2759733429 0.00355367152
## race_asian_pac_islander -0.0097830196 0.00923358299
## race_black 0.0822389093 -0.13225714727
## race_other 0.3048146193 0.24751497462
## race_white -0.0640141115 0.04277072616
## sex_female 0.0110760620 0.08534491387
## sex_male -0.0110760620 -0.08534491387
## native_country_cambodia -0.0708789931 0.01570220595
## native_country_canada 0.0438869181 -0.01397620585
## native_country_china 0.0078358648 0.03303942801
## native_country_columbia -0.0422737953 -0.07860011787
## native_country_cuba 0.0775498723 -0.00685583879
## native_country_dominican_republic -0.3239465294 -0.11405964308
## native_country_ecuador -0.2192407367 -0.10608942494
## native_country_el_salvador 0.0121070018 0.06993453956
## native_country_england 0.0551610761 -0.03879412332
## native_country_france 0.0634839167 -0.03603687689
## native_country_germany 0.0674575560 -0.02078553406
## native_country_greece 0.0066134928 0.00413948826
## native_country_guatemala 0.0110646879 -0.02322311217
## native_country_haiti -0.0783818035 0.14960302008
## native_country_holand_netherlands -0.0613856358 0.03289507136
## native_country_honduras -0.0231901111 0.01275015511
## native_country_hong 0.0372792009 0.00004928568
## native_country_hungary 0.0098234395 0.01860080768
## native_country_india -0.0609234128 -0.08413897242
## native_country_iran -0.0607223135 -0.05808563272
## native_country_ireland -0.0002584307 0.00322659698
## native_country_italy 0.0328822114 0.06489960798
## native_country_jamaica -0.0653768222 0.10661360326
## native_country_japan 0.0482253740 -0.02386371878
## native_country_laos -0.0377645081 0.02887510464
## native_country_mexico 0.0902209596 0.07229665177
## native_country_nicaragua 0.0189241231 -0.00772436514
## native_country_outlying_us(guam_usvi_etc) 0.0023828957 0.02395145174
## native_country_peru 0.0169112572 -0.07476610039
## native_country_philippines -0.0042776375 0.07466231026
## native_country_poland -0.0036597842 -0.01266492685
## native_country_portugal -0.0668752292 -0.02018689351
## native_country_puerto_rico -0.1537469625 -0.15398157187
## native_country_scotland 0.0355298748 -0.00947451651
## native_country_south -0.0268854651 -0.02956626982
## native_country_taiwan 0.0526520874 -0.03320601061
## native_country_thailand 0.0269558968 -0.01641206097
## native_country_trinadad&tobago -0.0210897293 0.04975501323
## native_country_united_states 0.0507358104 0.00038862037
## native_country_vietnam -0.0472730004 0.06941085143
## native_country_yugoslavia 0.0491549050 0.02493095805
## PC85 PC86
## l_capital_gain 0.043016757 -0.2709275911
## l_capital_loss 0.024298245 -0.1973735954
## age -0.078401941 0.1379048031
## fnlwgt -0.271386117 -0.1831548316
## education_num -0.056036335 -0.0318238322
## hours_per_week 0.320164380 -0.1330005317
## workclass_federal_gov 0.138494371 -0.1446834592
## workclass_local_gov -0.084988349 0.0522454514
## workclass_private 0.024186803 0.0786079590
## workclass_self_emp_inc -0.036439003 -0.0862782734
## workclass_self_emp_not_inc -0.083545339 0.0474754450
## workclass_state_gov 0.080311536 -0.0996468127
## workclass_without_pay 0.022140746 0.0230268428
## education_1st_4th 0.087922470 0.0843117546
## education_5th_6th 0.155667307 0.1247753896
## education_7th_8th -0.013110896 0.0775603412
## education_9th -0.004564270 0.0846699532
## education_10th -0.038927304 0.0620535330
## education_11th 0.005443693 0.0267960913
## education_12th 0.029675782 0.0293870320
## education_assoc_acdm 0.018087940 -0.0974589741
## education_assoc_voc -0.054374079 -0.0818786061
## education_bachelors 0.026930033 -0.1111914157
## education_doctorate -0.040994304 0.2435965158
## education_hs_grad -0.057613133 0.0105152600
## education_masters -0.003384999 0.0595912209
## education_preschool 0.069214871 0.0444855659
## education_prof_school -0.019229179 0.3231103990
## education_some_college 0.030206553 -0.1709634086
## marital_status_divorced -0.098921775 0.0278092127
## marital_status_married_af_spouse -0.063008720 0.0391515047
## marital_status_married_civ_spouse -0.003206133 0.0076093424
## marital_status_married_spouse_absent -0.088257867 0.0100170826
## marital_status_never_married 0.121346838 0.0058004078
## marital_status_separated -0.164612580 0.0325659144
## marital_status_widowed 0.115284925 -0.1445083675
## occupation_adm_clerical -0.181925574 0.1963885200
## occupation_armed_forces -0.054864764 0.0634136783
## occupation_craft_repair 0.198054296 -0.0463798917
## occupation_exec_managerial -0.047183110 0.2747128501
## occupation_farming_fishing 0.025087823 -0.1101484211
## occupation_handlers_cleaners 0.028138409 -0.1682702089
## occupation_machine_op_inspct -0.059438895 -0.1848031245
## occupation_other_service -0.046409426 -0.1760243722
## occupation_priv_house_serv -0.197102298 -0.1603029576
## occupation_prof_specialty 0.045544305 -0.1031687325
## occupation_protective_serv 0.091272594 0.1025150435
## occupation_sales 0.039860699 0.1102061814
## occupation_tech_support -0.043778751 0.1805207932
## occupation_transport_moving 0.036739621 -0.1084040590
## relationship_husband -0.054823767 0.0600456831
## relationship_not_in_family -0.046290521 0.0213677683
## relationship_other_relative -0.000519829 -0.0248637610
## relationship_own_child -0.065715981 0.0951892115
## relationship_unmarried 0.146740890 -0.1424305371
## relationship_wife 0.121155543 -0.1168047578
## race_amer_indian_eskimo -0.120900664 -0.0321441099
## race_asian_pac_islander -0.018176524 -0.0287360547
## race_black 0.201182712 0.1402295041
## race_other -0.430648644 -0.1115441899
## race_white -0.016810855 -0.0665202134
## sex_female 0.051933841 0.0190910430
## sex_male -0.051933841 -0.0190910430
## native_country_cambodia -0.052063824 0.0390523859
## native_country_canada -0.012292613 0.0066892165
## native_country_china 0.013986800 -0.0402018738
## native_country_columbia 0.116064639 0.0353673892
## native_country_cuba 0.058911499 -0.0425241827
## native_country_dominican_republic 0.141305358 0.0123843303
## native_country_ecuador 0.183748186 0.0512015929
## native_country_el_salvador -0.003773894 0.0206458789
## native_country_england -0.020555614 -0.0266766372
## native_country_france 0.035239988 -0.0222464448
## native_country_germany -0.023908439 0.0167335693
## native_country_greece -0.029499951 -0.0182579627
## native_country_guatemala 0.108008600 0.0592811965
## native_country_haiti -0.154281578 -0.0560603739
## native_country_holand_netherlands -0.020679487 0.0330458551
## native_country_honduras -0.004734688 0.0155964256
## native_country_hong -0.021533141 -0.0076718301
## native_country_hungary 0.023213482 0.0035087262
## native_country_india 0.078374729 -0.0793108416
## native_country_iran 0.084592764 0.0259746921
## native_country_ireland -0.035494645 0.0146279051
## native_country_italy -0.061614176 -0.0343095471
## native_country_jamaica -0.101653469 -0.1001381933
## native_country_japan 0.016297051 -0.0161909865
## native_country_laos -0.033747438 -0.0015653762
## native_country_mexico -0.050656487 0.0222716732
## native_country_nicaragua 0.088072598 0.0512262347
## native_country_outlying_us(guam_usvi_etc) -0.042983674 -0.0063759706
## native_country_peru 0.098463556 0.0583204678
## native_country_philippines -0.052964243 0.0017754316
## native_country_poland -0.003738162 0.0383095291
## native_country_portugal -0.060434573 -0.0261360777
## native_country_puerto_rico 0.177582304 0.0602135867
## native_country_scotland -0.020006724 -0.0182869251
## native_country_south -0.040600352 0.0113847122
## native_country_taiwan 0.005443780 -0.0668774753
## native_country_thailand -0.016291266 0.0141302773
## native_country_trinadad&tobago -0.055776184 -0.0425536872
## native_country_united_states -0.038062464 0.0008922927
## native_country_vietnam -0.037607031 0.0131365871
## native_country_yugoslavia 0.021709669 0.0104477702
## PC87 PC88
## l_capital_gain 0.042472667 -0.0323815956
## l_capital_loss 0.007546948 -0.0144142644
## age -0.146055819 0.0370981993
## fnlwgt -0.074219512 -0.0254487729
## education_num -0.036257974 0.0833250129
## hours_per_week 0.460343533 -0.0256852402
## workclass_federal_gov -0.166568305 -0.1111804437
## workclass_local_gov 0.176367136 -0.4177388204
## workclass_private -0.112845152 0.0460460106
## workclass_self_emp_inc -0.142640619 0.2774946183
## workclass_self_emp_not_inc 0.176229786 0.3556675664
## workclass_state_gov 0.050825469 -0.2308095259
## workclass_without_pay 0.073607521 0.0377423474
## education_1st_4th -0.036882943 0.0288150715
## education_5th_6th -0.071126453 0.0098011270
## education_7th_8th 0.046420216 0.0161748241
## education_9th -0.004355826 0.0009018461
## education_10th 0.063321131 -0.0083510516
## education_11th 0.099661196 -0.0184560702
## education_12th 0.070261778 -0.0195493503
## education_assoc_acdm -0.030148735 -0.0292069317
## education_assoc_voc -0.001639485 -0.0563117049
## education_bachelors -0.022223399 0.0985839558
## education_doctorate 0.021663754 0.0074186825
## education_hs_grad -0.021328750 -0.0786227290
## education_masters -0.010728713 0.2416864485
## education_preschool -0.005158970 0.0455496362
## education_prof_school 0.006583031 -0.1627972886
## education_some_college -0.022324995 -0.0441082953
## marital_status_divorced -0.151859475 -0.0128144371
## marital_status_married_af_spouse 0.028204475 -0.0013623936
## marital_status_married_civ_spouse 0.047616888 -0.0118369769
## marital_status_married_spouse_absent -0.004141807 -0.0093839291
## marital_status_never_married 0.113068923 0.0362798360
## marital_status_separated -0.127007736 -0.0241848528
## marital_status_widowed -0.013621431 -0.0081513102
## occupation_adm_clerical 0.264391274 0.1754462504
## occupation_armed_forces 0.048206514 0.0340133291
## occupation_craft_repair -0.112131738 -0.0142621534
## occupation_exec_managerial -0.059080345 -0.2219963695
## occupation_farming_fishing -0.375963810 -0.2576256103
## occupation_handlers_cleaners 0.118591290 0.0561065982
## occupation_machine_op_inspct 0.055938944 0.0384125953
## occupation_other_service 0.213920625 0.0810347002
## occupation_priv_house_serv 0.151002755 -0.0065561559
## occupation_prof_specialty -0.141482723 0.0130803271
## occupation_protective_serv -0.228228968 0.4353759763
## occupation_sales 0.063423616 -0.2157370627
## occupation_tech_support 0.095378639 0.0369291377
## occupation_transport_moving -0.153289334 0.0814339581
## relationship_husband 0.121388894 -0.0220855648
## relationship_not_in_family 0.040260884 -0.0296730613
## relationship_other_relative -0.073227747 -0.0041355012
## relationship_own_child -0.169475400 -0.0084037032
## relationship_unmarried 0.092060727 0.0721780548
## relationship_wife -0.158725778 0.0254115610
## race_amer_indian_eskimo -0.045988166 0.0448629086
## race_asian_pac_islander -0.009765118 -0.0257805018
## race_black 0.006926400 0.0187287332
## race_other 0.026124787 -0.0160991637
## race_white 0.005210751 -0.0118306113
## sex_female 0.042851352 -0.0132898672
## sex_male -0.042851352 0.0132898672
## native_country_cambodia 0.020576031 0.0166320759
## native_country_canada 0.011090717 -0.0232008436
## native_country_china 0.021640889 -0.0104187016
## native_country_columbia -0.026678762 0.0055354885
## native_country_cuba 0.034359579 -0.0372200475
## native_country_dominican_republic -0.050320917 -0.0110740066
## native_country_ecuador -0.017735846 0.0018012282
## native_country_el_salvador -0.001355462 -0.0054121605
## native_country_england -0.007910524 -0.0045815241
## native_country_france -0.017817907 -0.0105720697
## native_country_germany -0.004571481 -0.0009002416
## native_country_greece -0.032097887 -0.0214279997
## native_country_guatemala -0.046651582 0.0202204484
## native_country_haiti -0.006507971 -0.0259004828
## native_country_holand_netherlands -0.002007183 -0.0006919125
## native_country_honduras 0.015802230 -0.0041219846
## native_country_hong 0.021934647 -0.0061056735
## native_country_hungary 0.006708241 -0.0270794986
## native_country_india 0.001193947 -0.0147399798
## native_country_iran -0.018776949 -0.0340964579
## native_country_ireland -0.011603891 -0.0043839044
## native_country_italy -0.015909367 -0.0194464467
## native_country_jamaica -0.051559228 -0.0097734319
## native_country_japan -0.010649598 -0.0015597885
## native_country_laos 0.003464814 0.0141379538
## native_country_mexico 0.089445009 0.0544497649
## native_country_nicaragua -0.021313115 -0.0131446314
## native_country_outlying_us(guam_usvi_etc) -0.010576286 0.0035312781
## native_country_peru 0.025458975 -0.0123589766
## native_country_philippines 0.014155672 0.0107751440
## native_country_poland 0.010792806 -0.0042022195
## native_country_portugal -0.010269032 -0.0064856256
## native_country_puerto_rico -0.002771484 0.0211658773
## native_country_scotland 0.004204236 -0.0321106424
## native_country_south -0.035242701 -0.0338191032
## native_country_taiwan 0.023838935 -0.0094334357
## native_country_thailand -0.018008853 -0.0147891263
## native_country_trinadad&tobago -0.018787296 -0.0237592855
## native_country_united_states -0.009130327 0.0144287262
## native_country_vietnam -0.020336785 0.0072529093
## native_country_yugoslavia -0.011132605 0.0050880477
## PC89 PC90
## l_capital_gain 0.046887661 -0.0151467146
## l_capital_loss 0.035050460 0.0007261050
## age -0.137571647 -0.0150898159
## fnlwgt -0.095268328 -0.1873951801
## education_num 0.043310121 0.2134273707
## hours_per_week -0.470820376 0.0084707442
## workclass_federal_gov -0.020186593 -0.0110008745
## workclass_local_gov 0.028850843 0.0289669788
## workclass_private -0.017243974 -0.0085820053
## workclass_self_emp_inc 0.058414460 -0.0113840273
## workclass_self_emp_not_inc 0.005898292 -0.0175143891
## workclass_state_gov -0.042521685 0.0271348862
## workclass_without_pay -0.006349565 -0.0068450253
## education_1st_4th -0.094074901 -0.2851862319
## education_5th_6th -0.162081917 -0.3830977787
## education_7th_8th 0.014266546 -0.0042469109
## education_9th -0.019481211 -0.0522917440
## education_10th 0.020372361 0.0444360653
## education_11th 0.012257938 0.0450469491
## education_12th 0.007229671 -0.0251328718
## education_assoc_acdm -0.009946480 -0.0002849553
## education_assoc_voc 0.002409971 0.0094439361
## education_bachelors -0.064906402 0.0311209409
## education_doctorate 0.055940770 0.0129420213
## education_hs_grad 0.058349255 0.0257723600
## education_masters -0.025554622 0.0281264152
## education_preschool -0.078217460 -0.1173449679
## education_prof_school 0.043915027 0.0485979592
## education_some_college 0.029030625 0.0410369719
## marital_status_divorced -0.204565255 0.1480295931
## marital_status_married_af_spouse 0.008800829 -0.0209783792
## marital_status_married_civ_spouse 0.041513864 -0.0249510673
## marital_status_married_spouse_absent -0.056678819 0.0018779588
## marital_status_never_married 0.241951435 -0.1713835389
## marital_status_separated -0.147794610 0.0696899447
## marital_status_widowed -0.189101421 0.1784637385
## occupation_adm_clerical -0.028589294 0.0195791563
## occupation_armed_forces -0.004253957 0.0067775633
## occupation_craft_repair -0.020567300 0.0404299816
## occupation_exec_managerial 0.076926758 -0.0443713969
## occupation_farming_fishing 0.088426646 0.0266321801
## occupation_handlers_cleaners -0.007123846 0.0076410352
## occupation_machine_op_inspct -0.004210417 0.0442102091
## occupation_other_service -0.079203246 0.0490731414
## occupation_priv_house_serv 0.005481584 0.0217990907
## occupation_prof_specialty -0.052590177 -0.1524732651
## occupation_protective_serv 0.012384566 -0.0320833980
## occupation_sales 0.026976792 0.0168841291
## occupation_tech_support -0.031850374 -0.0057462503
## occupation_transport_moving 0.063664335 0.0577861728
## relationship_husband 0.059519126 -0.0916829662
## relationship_not_in_family 0.119073140 0.0064336055
## relationship_other_relative -0.088831938 -0.0360635801
## relationship_own_child -0.519642580 0.1753642297
## relationship_unmarried 0.380497678 -0.1453815983
## relationship_wife 0.001659063 0.1484430510
## race_amer_indian_eskimo -0.028747936 -0.0385276589
## race_asian_pac_islander -0.016480261 -0.0760941214
## race_black 0.018816233 0.1354836763
## race_other -0.048208221 -0.1281468276
## race_white 0.012481696 -0.0336744114
## sex_female -0.033480580 -0.0956178383
## sex_male 0.033480580 0.0956178383
## native_country_cambodia 0.000894371 0.0075078528
## native_country_canada -0.034438619 -0.0808284069
## native_country_china -0.005752028 -0.0087219595
## native_country_columbia -0.011295841 -0.0077838873
## native_country_cuba 0.023015769 -0.0083060856
## native_country_dominican_republic 0.042803251 0.0703362091
## native_country_ecuador 0.006412597 0.0147249003
## native_country_el_salvador 0.051222305 0.1667097082
## native_country_england -0.013907283 -0.0763585938
## native_country_france -0.017023981 -0.0383894474
## native_country_germany -0.036766575 -0.0936006710
## native_country_greece -0.006298424 -0.0423075543
## native_country_guatemala 0.017278425 0.1125061283
## native_country_haiti -0.008690560 -0.0434844886
## native_country_holand_netherlands -0.005200956 -0.0031743316
## native_country_honduras -0.007011828 0.0256539484
## native_country_hong -0.012877323 0.0075524510
## native_country_hungary -0.012878331 -0.0309557036
## native_country_india -0.009603617 -0.0468051469
## native_country_iran -0.005725696 -0.0458426187
## native_country_ireland -0.030867383 -0.0318873838
## native_country_italy 0.022336095 0.0165608785
## native_country_jamaica -0.037523107 -0.0846492910
## native_country_japan -0.015677229 -0.0371092110
## native_country_laos 0.008559694 0.0307556966
## native_country_mexico 0.147284346 0.5063453652
## native_country_nicaragua 0.010726214 0.0121885339
## native_country_outlying_us(guam_usvi_etc) -0.010366069 -0.0388023609
## native_country_peru -0.009723782 -0.0205195008
## native_country_philippines 0.035724426 -0.0244760378
## native_country_poland -0.023254114 -0.0581776058
## native_country_portugal 0.012221097 0.0044585160
## native_country_puerto_rico -0.018213628 0.0106932537
## native_country_scotland -0.007172810 -0.0199686967
## native_country_south 0.010546279 -0.0342226132
## native_country_taiwan -0.025963402 -0.0247669718
## native_country_thailand 0.004545346 -0.0096077328
## native_country_trinadad&tobago -0.025032979 -0.0261337215
## native_country_united_states -0.057107645 -0.1830044112
## native_country_vietnam -0.018082027 0.0212426953
## native_country_yugoslavia -0.008966587 -0.0201629413
## PC91 PC92
## l_capital_gain 0.0571063465 -0.0248994082
## l_capital_loss 0.0375425687 -0.0130959309
## age -0.0183154071 0.1104662418
## fnlwgt -0.0067262194 0.0529172657
## education_num -0.0474951538 0.2428784639
## hours_per_week -0.0194283344 -0.0200385828
## workclass_federal_gov 0.0121017630 0.0546318753
## workclass_local_gov -0.0771127941 0.0698752896
## workclass_private 0.0022163149 -0.0272811306
## workclass_self_emp_inc 0.0478458857 -0.0070594699
## workclass_self_emp_not_inc 0.0453964972 -0.0788103899
## workclass_state_gov -0.0259060532 0.0410654308
## workclass_without_pay 0.0054256821 -0.0129089962
## education_1st_4th -0.0975337854 0.0638118629
## education_5th_6th -0.1300667227 0.0541877135
## education_7th_8th -0.0389225716 0.0057965544
## education_9th -0.0137149175 -0.0040229882
## education_10th 0.0130308465 -0.0394895418
## education_11th 0.0244223011 -0.0517763207
## education_12th 0.0342754707 -0.0441410403
## education_assoc_acdm 0.0404517290 -0.0349169704
## education_assoc_voc 0.0183770238 -0.0431397412
## education_bachelors -0.0297789104 0.1336946924
## education_doctorate -0.0916201015 0.1500002457
## education_hs_grad 0.0899130179 -0.1788438643
## education_masters -0.0940023476 0.1930576329
## education_preschool -0.0478958848 0.0389610663
## education_prof_school -0.1373084065 0.2415654369
## education_some_college 0.0614051730 -0.0817461555
## marital_status_divorced -0.0284938804 -0.0479434238
## marital_status_married_af_spouse 0.0489180897 0.0059789217
## marital_status_married_civ_spouse 0.0988822045 0.0269433609
## marital_status_married_spouse_absent 0.0010799282 -0.0106710212
## marital_status_never_married -0.0526038518 0.0444613166
## marital_status_separated -0.0067079132 -0.0093544081
## marital_status_widowed -0.0912594581 -0.0904919980
## occupation_adm_clerical -0.1559587293 -0.0690478378
## occupation_armed_forces 0.0151119904 -0.0107689485
## occupation_craft_repair 0.0280913223 0.2667864951
## occupation_exec_managerial 0.0272513787 -0.1897742070
## occupation_farming_fishing 0.0260603252 0.1679402887
## occupation_handlers_cleaners 0.0816467857 0.2040852977
## occupation_machine_op_inspct -0.0294582971 0.1947303448
## occupation_other_service -0.1089708348 0.1081325912
## occupation_priv_house_serv -0.0939589925 0.0054205461
## occupation_prof_specialty 0.2200707690 -0.5650956193
## occupation_protective_serv 0.0512390751 -0.0002199290
## occupation_sales -0.0902169473 0.0001312755
## occupation_tech_support -0.0152079661 -0.0500708195
## occupation_transport_moving 0.0356984437 0.1940511412
## relationship_husband 0.3089906537 0.0789178600
## relationship_not_in_family 0.0507599820 -0.0087989753
## relationship_other_relative -0.0206373463 0.0013643118
## relationship_own_child 0.0281477242 0.0011596024
## relationship_unmarried -0.2466150327 -0.0320668455
## relationship_wife -0.4996191055 -0.1227417846
## race_amer_indian_eskimo 0.0048083646 0.0270041920
## race_asian_pac_islander -0.0052120825 -0.0118143529
## race_black 0.0416747773 -0.0383899573
## race_other -0.0445773779 0.0301191435
## race_white -0.0225170916 0.0226880532
## sex_female 0.3892712018 0.1953545763
## sex_male -0.3892712018 -0.1953545763
## native_country_cambodia -0.0019567747 0.0079474714
## native_country_canada -0.0200145288 0.0107853834
## native_country_china -0.0034684239 0.0112426377
## native_country_columbia 0.0018234604 -0.0097019778
## native_country_cuba -0.0111949173 -0.0092653329
## native_country_dominican_republic 0.0160227187 -0.0211488284
## native_country_ecuador 0.0002750262 -0.0074586454
## native_country_el_salvador 0.0660673793 -0.0191126723
## native_country_england -0.0109497821 0.0163226525
## native_country_france -0.0041870751 0.0049394064
## native_country_germany -0.0402081330 0.0095593353
## native_country_greece -0.0170547964 0.0145179772
## native_country_guatemala 0.0507883965 -0.0075968207
## native_country_haiti -0.0063464662 0.0052274863
## native_country_holand_netherlands -0.0115650782 -0.0090348773
## native_country_honduras 0.0214750958 -0.0022291983
## native_country_hong 0.0089752775 0.0045662587
## native_country_hungary -0.0161118902 -0.0003737242
## native_country_india 0.0131105851 0.0031945119
## native_country_iran 0.0083355423 0.0048130902
## native_country_ireland -0.0202395082 0.0116863844
## native_country_italy -0.0055167373 0.0003324916
## native_country_jamaica -0.0472985004 0.0218099633
## native_country_japan -0.0130321698 0.0113562739
## native_country_laos 0.0167786037 -0.0120873866
## native_country_mexico 0.1440373955 -0.0616071152
## native_country_nicaragua 0.0156220006 -0.0154880182
## native_country_outlying_us(guam_usvi_etc) -0.0081923786 0.0042874983
## native_country_peru -0.0073482881 -0.0049488003
## native_country_philippines -0.0035008530 -0.0080371524
## native_country_poland -0.0131302138 -0.0155929880
## native_country_portugal 0.0118807397 -0.0066614782
## native_country_puerto_rico 0.0245763206 0.0034651432
## native_country_scotland 0.0051661195 0.0097587480
## native_country_south -0.0172381705 0.0179043930
## native_country_taiwan -0.0003207706 0.0023142496
## native_country_thailand -0.0056428844 0.0037006553
## native_country_trinadad&tobago -0.0146744278 0.0050656273
## native_country_united_states -0.0653626796 0.0234497527
## native_country_vietnam -0.0065690021 0.0074474286
## native_country_yugoslavia -0.0074432667 0.0046263073
## PC93 PC94
## l_capital_gain 0.049053114227 -0.0015510352
## l_capital_loss 0.012719717913 0.0059408533
## age -0.771691470374 -0.0003497070
## fnlwgt -0.042474773685 0.0267458496
## education_num 0.002480908321 0.0091465905
## hours_per_week -0.148497912171 0.0027088786
## workclass_federal_gov 0.008668891064 -0.0039766452
## workclass_local_gov -0.000004782895 0.0004126133
## workclass_private -0.049544876730 0.0006636099
## workclass_self_emp_inc 0.050368382464 0.0017861463
## workclass_self_emp_not_inc 0.059540084713 0.0036793297
## workclass_state_gov -0.029318659107 -0.0054895241
## workclass_without_pay 0.015238446740 0.0024510824
## education_1st_4th 0.081773691187 -0.0076949841
## education_5th_6th 0.110541022249 -0.0191369301
## education_7th_8th 0.082243253889 0.0015934207
## education_9th 0.030503469399 -0.0007121091
## education_10th -0.004005330259 0.0017936174
## education_11th -0.061407212289 0.0088904149
## education_12th -0.021820614636 0.0006727541
## education_assoc_acdm -0.027671249544 -0.0052472763
## education_assoc_voc -0.035694176789 -0.0055273344
## education_bachelors 0.009267031598 -0.0013712242
## education_doctorate 0.084953928341 0.0117212923
## education_hs_grad -0.040827309575 0.0003360793
## education_masters 0.090540527600 0.0068705085
## education_preschool 0.048579978191 0.0023546848
## education_prof_school 0.058296902944 0.0068372575
## education_some_college -0.068913956708 -0.0027261651
## marital_status_divorced 0.170621256891 0.0007462825
## marital_status_married_af_spouse -0.015175018703 0.0014008331
## marital_status_married_civ_spouse 0.076449781131 0.0020784176
## marital_status_married_spouse_absent 0.028032104987 0.0019546370
## marital_status_never_married -0.334575871602 -0.0032024480
## marital_status_separated 0.045191301184 0.0028455236
## marital_status_widowed 0.293958923712 -0.0032864898
## occupation_adm_clerical 0.042043037070 -0.0017442155
## occupation_armed_forces -0.007321813612 0.0010617158
## occupation_craft_repair -0.008691812627 0.0059125123
## occupation_exec_managerial 0.019013406631 -0.0096502530
## occupation_farming_fishing 0.029115360696 -0.0034220511
## occupation_handlers_cleaners -0.011761673501 0.0049632145
## occupation_machine_op_inspct -0.008284046320 0.0119372813
## occupation_other_service -0.011166088703 0.0089843975
## occupation_priv_house_serv 0.011804293819 -0.0006980182
## occupation_prof_specialty -0.066270516969 -0.0105491609
## occupation_protective_serv -0.001774020378 0.0007992309
## occupation_sales 0.004210841585 0.0007194084
## occupation_tech_support -0.002698292117 -0.0056354201
## occupation_transport_moving 0.030052735499 -0.0003213710
## relationship_husband 0.090470829530 0.0020064938
## relationship_not_in_family 0.077074404274 0.0013313553
## relationship_other_relative 0.001146991070 -0.0018026852
## relationship_own_child -0.101940323352 -0.0125086182
## relationship_unmarried -0.099510134539 0.0073552943
## relationship_wife -0.056312469475 0.0042668967
## race_amer_indian_eskimo -0.019295198871 -0.0482266607
## race_asian_pac_islander 0.000044304313 0.6634459375
## race_black 0.042894461158 -0.1671310581
## race_other -0.023184525550 -0.0438585269
## race_white -0.024721956724 -0.1550566089
## sex_female 0.008072416782 0.0015905794
## sex_male -0.008072416782 -0.0015905794
## native_country_cambodia 0.000701332361 -0.1053724179
## native_country_canada 0.030038927343 0.0451138577
## native_country_china -0.008707895956 -0.2463944580
## native_country_columbia 0.014563261053 0.0335584763
## native_country_cuba 0.023695165479 0.0432832160
## native_country_dominican_republic 0.000968792530 0.0361775262
## native_country_ecuador 0.001573490783 0.0254965992
## native_country_el_salvador -0.026859642960 0.0477590510
## native_country_england 0.010268201261 0.0365340227
## native_country_france 0.003977967762 0.0179123481
## native_country_germany 0.010098951188 0.0464436373
## native_country_greece 0.016583932209 0.0227483374
## native_country_guatemala -0.026994600203 0.0332957299
## native_country_haiti -0.005979138173 0.0334656874
## native_country_holand_netherlands 0.004559361260 0.0036620349
## native_country_honduras -0.005442117101 0.0170624513
## native_country_hong -0.010135393209 -0.1006318318
## native_country_hungary 0.011894625165 0.0157817212
## native_country_india -0.014509537393 -0.2298937324
## native_country_iran -0.003227036323 -0.0056259000
## native_country_ireland 0.013274972332 0.0180211228
## native_country_italy 0.007176203334 0.0387828582
## native_country_jamaica 0.006554976144 0.0450672293
## native_country_japan -0.005155861641 -0.1165637342
## native_country_laos -0.004173005615 -0.1092429611
## native_country_mexico -0.115342432978 0.1160043392
## native_country_nicaragua 0.001737397490 0.0216587988
## native_country_outlying_us(guam_usvi_etc) 0.009476830813 0.0013928285
## native_country_peru 0.016281132794 0.0239823630
## native_country_philippines 0.017917951149 -0.3718358104
## native_country_poland 0.016239132587 0.0301637372
## native_country_portugal -0.007573908371 0.0266696318
## native_country_puerto_rico 0.018414455957 0.0486387612
## native_country_scotland 0.022831285542 0.0171375372
## native_country_south 0.000375005756 -0.2314371611
## native_country_taiwan -0.016694707334 -0.1665976743
## native_country_thailand -0.001042499985 -0.1027960625
## native_country_trinadad&tobago 0.001312524601 0.0004290864
## native_country_united_states 0.037565421151 0.1643107328
## native_country_vietnam -0.001455644131 -0.2102767414
## native_country_yugoslavia 0.000433480565 0.0181718774
## PC95
## l_capital_gain 0.000879518157
## l_capital_loss -0.000189477690
## age -0.005604428582
## fnlwgt 0.000922004426
## education_num -0.000760562695
## hours_per_week 0.001381669166
## workclass_federal_gov -0.000620617076
## workclass_local_gov 0.000454360490
## workclass_private -0.000617366760
## workclass_self_emp_inc -0.000276213407
## workclass_self_emp_not_inc 0.000492642944
## workclass_state_gov 0.000520389448
## workclass_without_pay 0.003452580797
## education_1st_4th 0.001947522225
## education_5th_6th 0.000464110039
## education_7th_8th -0.000752436258
## education_9th 0.000008256579
## education_10th -0.000511327844
## education_11th 0.000437070964
## education_12th 0.001296957940
## education_assoc_acdm 0.000227761149
## education_assoc_voc 0.000182767166
## education_bachelors 0.000442185944
## education_doctorate -0.000358386407
## education_hs_grad -0.000003270294
## education_masters 0.000018654812
## education_preschool 0.002173722312
## education_prof_school -0.000833776210
## education_some_college -0.000993929290
## marital_status_divorced 0.234589506592
## marital_status_married_af_spouse -0.027126816942
## marital_status_married_civ_spouse -0.538844094915
## marital_status_married_spouse_absent 0.072156217886
## marital_status_never_married 0.302562507910
## marital_status_separated 0.116616716454
## marital_status_widowed 0.112448607848
## occupation_adm_clerical -0.000011153372
## occupation_armed_forces 0.001778149882
## occupation_craft_repair 0.000278758665
## occupation_exec_managerial -0.000227988590
## occupation_farming_fishing -0.000532189323
## occupation_handlers_cleaners -0.000110555268
## occupation_machine_op_inspct 0.000234646562
## occupation_other_service -0.000337455198
## occupation_priv_house_serv 0.002056511267
## occupation_prof_specialty -0.000294603053
## occupation_protective_serv 0.001155128880
## occupation_sales -0.000231034295
## occupation_tech_support -0.000460948266
## occupation_transport_moving 0.000267929049
## relationship_husband 0.521546701494
## relationship_not_in_family -0.310642301022
## relationship_other_relative -0.080867258429
## relationship_own_child -0.238633036431
## relationship_unmarried -0.223850323601
## relationship_wife 0.220444480071
## race_amer_indian_eskimo 0.000103594179
## race_asian_pac_islander 0.002017583193
## race_black -0.000796445896
## race_other 0.001342247849
## race_white -0.000674562148
## sex_female 0.003800085106
## sex_male -0.003800085106
## native_country_cambodia 0.003340351106
## native_country_canada 0.000054980352
## native_country_china 0.003375518370
## native_country_columbia 0.001540535448
## native_country_cuba 0.000088453570
## native_country_dominican_republic -0.000950318480
## native_country_ecuador 0.002993349344
## native_country_el_salvador -0.000549670609
## native_country_england 0.000102430570
## native_country_france -0.000234548798
## native_country_germany -0.001016585778
## native_country_greece 0.001700725311
## native_country_guatemala -0.002633400835
## native_country_haiti -0.000649162397
## native_country_holand_netherlands -0.001085613779
## native_country_honduras -0.000869186413
## native_country_hong -0.001186202781
## native_country_hungary -0.000390274892
## native_country_india 0.000680818687
## native_country_iran -0.000650244159
## native_country_ireland 0.001019668964
## native_country_italy 0.000619927156
## native_country_jamaica -0.000628730634
## native_country_japan -0.000071687053
## native_country_laos -0.000806465438
## native_country_mexico 0.001655747094
## native_country_nicaragua 0.000330088851
## native_country_outlying_us(guam_usvi_etc) -0.000320083911
## native_country_peru -0.000826859698
## native_country_philippines 0.003107910760
## native_country_poland 0.001042663239
## native_country_portugal -0.000796748460
## native_country_puerto_rico -0.001489825098
## native_country_scotland -0.000315033004
## native_country_south 0.001033649600
## native_country_taiwan 0.000008605742
## native_country_thailand 0.000556615672
## native_country_trinadad&tobago -0.000652759692
## native_country_united_states -0.001919592600
## native_country_vietnam -0.000434942091
## native_country_yugoslavia -0.000377080784
## PC96
## l_capital_gain -0.0000000000001310580581
## l_capital_loss -0.0000000000000085431135
## age -0.0000000000000250394357
## fnlwgt 0.0000000000000004747822
## education_num -0.1133209923390610662786
## hours_per_week -0.0000000000000003951004
## workclass_federal_gov 0.1030024071302968607933
## workclass_local_gov 0.1499593981151737809299
## workclass_private 0.2614286207775670667353
## workclass_self_emp_inc 0.1111416772302864369726
## workclass_self_emp_not_inc 0.1645651811321228730201
## workclass_state_gov 0.1204296221804726230165
## workclass_without_pay 0.0127856266541027680655
## education_1st_4th -0.0514847030541254330194
## education_5th_6th -0.0686331283364895461396
## education_7th_8th -0.0865977382344785412416
## education_9th -0.0732270378760430801224
## education_10th -0.0906871484023610008318
## education_11th -0.0956232323892797497766
## education_12th -0.0527817879567164180421
## education_assoc_acdm -0.0525387484308628763263
## education_assoc_voc -0.0686280824129253258503
## education_bachelors -0.0927102280763292818655
## education_doctorate -0.0125548744510893626330
## education_hs_grad -0.1997779562734244562794
## education_masters -0.0467302015031658621314
## education_preschool -0.0311389203739468739540
## education_prof_school -0.0208383968726603523158
## education_some_college -0.1577513569025452144778
## marital_status_divorced 0.3563985630296477302714
## marital_status_married_af_spouse 0.0273747994940679584275
## marital_status_married_civ_spouse 0.5135039409276636046542
## marital_status_married_spouse_absent 0.1130400399059624250153
## marital_status_never_married 0.4813183561274465560587
## marital_status_separated 0.1789822144356116306874
## marital_status_widowed 0.1705316405543277902268
## occupation_adm_clerical -0.0153501612889478805668
## occupation_armed_forces -0.0008236315025976631565
## occupation_craft_repair -0.0159042664186168254681
## occupation_exec_managerial -0.0158639198941963738276
## occupation_farming_fishing -0.0083299320775819529761
## occupation_handlers_cleaners -0.0097305032394731528350
## occupation_machine_op_inspct -0.0115974669770867056667
## occupation_other_service -0.0144314321686524332788
## occupation_priv_house_serv -0.0033447470038836420170
## occupation_prof_specialty -0.0158908386719326527592
## occupation_protective_serv -0.0068033560588256943025
## occupation_sales -0.0151913906506459320256
## occupation_tech_support -0.0081649292705032912310
## occupation_transport_moving -0.0103202347494883665130
## relationship_husband -0.0383256431986747914120
## relationship_not_in_family -0.0340929469931488746126
## relationship_other_relative -0.0132430229684120867595
## relationship_own_child -0.0275282976862032853493
## relationship_unmarried -0.0239515109561170662367
## relationship_wife -0.0163476101201601754787
## race_amer_indian_eskimo 0.0052633748576849173628
## race_asian_pac_islander 0.0090207389724977805889
## race_black 0.0156989759604693468464
## race_other 0.0047457432058139598086
## race_white 0.0186964611314004471032
## sex_female -0.0006848463632354861996
## sex_male -0.0006848463632346778185
## native_country_cambodia -0.0029559159696628447417
## native_country_canada -0.0073899242489085022884
## native_country_china -0.0061563915211549488302
## native_country_columbia -0.0052461791058906878313
## native_country_cuba -0.0066775405206920806361
## native_country_dominican_republic -0.0057049242792899402393
## native_country_ecuador -0.0038006505876554790013
## native_country_el_salvador -0.0070191083260531857840
## native_country_england -0.0063173015123383115255
## native_country_france -0.0034778320807356362040
## native_country_germany -0.0080385962383959473632
## native_country_greece -0.0040568870522507639517
## native_country_guatemala -0.0053723731496667891105
## native_country_haiti -0.0048130819966617274103
## native_country_holand_netherlands -0.0005798631238308159502
## native_country_honduras -0.0025270616653417891928
## native_country_hong -0.0030674310978896345697
## native_country_hungary -0.0024596884145063743418
## native_country_india -0.0070191083260533887467
## native_country_iran -0.0043366586445525434623
## native_country_ireland -0.0034778320807356383725
## native_country_italy -0.0057922804385756622436
## native_country_jamaica -0.0058783271843772071097
## native_country_japan -0.0054650924648775448325
## native_country_laos -0.0026566789748370539526
## native_country_mexico -0.0172502050293751318932
## native_country_nicaragua -0.0040153212974052346351
## native_country_outlying_us(guam_usvi_etc) -0.0027191675428811998283
## native_country_peru -0.0038879472212585905466
## native_country_philippines -0.0097243443585326456297
## native_country_poland -0.0052141498368847407144
## native_country_portugal -0.0045627662579768926698
## native_country_puerto_rico -0.0076560960095025162170
## native_country_scotland -0.0025926818843432231088
## native_country_south -0.0058211052918913167020
## native_country_taiwan -0.0042978116365427667528
## native_country_thailand -0.0031216915917598917450
## native_country_trinadad&tobago -0.0029559159696629488251
## native_country_united_states -0.0347363869803946415105
## native_country_vietnam -0.0052780126022642787076
## native_country_yugoslavia -0.0027802493064747828798
## PC97
## l_capital_gain -0.0000000000000024617316
## l_capital_loss -0.0000000000000313248462
## age 0.0000000000000110029708
## fnlwgt 0.0000000000000001283902
## education_num -0.3676623154026510964520
## hours_per_week 0.0000000000000006013695
## workclass_federal_gov 0.0385341873983428909178
## workclass_local_gov 0.0561012476320381370254
## workclass_private 0.0978029518435394873421
## workclass_self_emp_inc 0.0415791663270589015311
## workclass_self_emp_not_inc 0.0615654110002079660302
## workclass_state_gov 0.0450538755229635684563
## workclass_without_pay 0.0047832254334717917710
## education_1st_4th -0.1101767843087280707159
## education_5th_6th -0.1420134412552440383859
## education_7th_8th -0.1722116275540468144367
## education_9th -0.1388577095721504894854
## education_10th -0.1622590204811449332567
## education_11th -0.1590890238700397585347
## education_12th -0.0799381471549488881179
## education_assoc_acdm -0.0244391465488045210586
## education_assoc_voc -0.0570387703525367176227
## education_bachelors 0.0029327476918046368852
## education_doctorate 0.0479585964848639606517
## education_hs_grad -0.2665428667441452903475
## education_masters 0.0347997512638410499974
## education_preschool -0.0685916661879617112207
## education_prof_school 0.0386452849984119106708
## education_some_college -0.1754083713375498287945
## marital_status_divorced -0.1108307463601321957158
## marital_status_married_af_spouse -0.0085128554772931960132
## marital_status_married_civ_spouse -0.1596864604281475752412
## marital_status_married_spouse_absent -0.0351525322797510766937
## marital_status_never_married -0.1496775749962782342539
## marital_status_separated -0.0556588450931474465477
## marital_status_widowed -0.0530309349173248914533
## occupation_adm_clerical 0.0660957350737179788469
## occupation_armed_forces 0.0035464467486259606752
## occupation_craft_repair 0.0684816374212035838820
## occupation_exec_managerial 0.0683079107000943985817
## occupation_farming_fishing 0.0358675699504447109689
## occupation_handlers_cleaners 0.0418982414675475658972
## occupation_machine_op_inspct 0.0499371368427095618792
## occupation_other_service 0.0621398107419443568311
## occupation_priv_house_serv 0.0144020318546403559151
## occupation_prof_specialty 0.0684238193454994592102
## occupation_protective_serv 0.0292943384249743921099
## occupation_sales 0.0654120900064666388474
## occupation_tech_support 0.0351570900005721068138
## occupation_transport_moving 0.0444375462290327663539
## relationship_husband 0.3879428328107763501720
## relationship_not_in_family 0.3450983031602963269080
## relationship_other_relative 0.1340495662058842074593
## relationship_own_child 0.2786490948497288289154
## relationship_unmarried 0.2424438635575343059525
## relationship_wife 0.1654750618750341351060
## race_amer_indian_eskimo 0.0138498232701494399660
## race_asian_pac_islander 0.0237367932008159220059
## race_black 0.0413096251841784806169
## race_other 0.0124877491083624607426
## race_white 0.0491970816156159715393
## sex_female 0.0020133542228031437414
## sex_male 0.0020133542228028692214
## native_country_cambodia -0.0098914896211792033981
## native_country_canada -0.0247291735487717503905
## native_country_china -0.0206013579074658566281
## native_country_columbia -0.0175554808422660295342
## native_country_cuba -0.0223452978478824552944
## native_country_dominican_republic -0.0190905965789832897384
## native_country_ecuador -0.0127182559407497640380
## native_country_el_salvador -0.0234882986761654893870
## native_country_england -0.0211398168907623446033
## native_country_france -0.0116379965749583286216
## native_country_germany -0.0268998483302661899053
## native_country_greece -0.0135757093853416735407
## native_country_guatemala -0.0179777685822000883598
## native_country_haiti -0.0161061921598838787839
## native_country_holand_netherlands -0.0019404171600084665992
## native_country_honduras -0.0084563987918975184327
## native_country_hong -0.0102646567696303009365
## native_country_hungary -0.0082309452207463378037
## native_country_india -0.0234882986761650036645
## native_country_iran -0.0145119192877738358710
## native_country_ireland -0.0116379965749578186129
## native_country_italy -0.0193829196868761689798
## native_country_jamaica -0.0196708610565778443946
## native_country_japan -0.0182880386147396233054
## native_country_laos -0.0088901419309975263094
## native_country_mexico -0.0577249914282026918566
## native_country_nicaragua -0.0134366163810516053845
## native_country_outlying_us(guam_usvi_etc) -0.0090992497096334858803
## native_country_peru -0.0130103798556755086147
## native_country_philippines -0.0325409288634700838427
## native_country_poland -0.0174483001290121758631
## native_country_portugal -0.0152685514567561866905
## native_country_puerto_rico -0.0256198738374087374436
## native_country_scotland -0.0086759861285654344548
## native_country_south -0.0194793773468134069626
## native_country_taiwan -0.0143819241253649032775
## native_country_thailand -0.0104462306429968752874
## native_country_trinadad&tobago -0.0098914896211791825814
## native_country_united_states -0.1162396410521174677788
## native_country_vietnam -0.0176620064344061716843
## native_country_yugoslavia -0.0093036498471309111991
## PC98
## l_capital_gain -0.00000000000000711378246
## l_capital_loss 0.00000000000000438462562
## age 0.00000000000002105990309
## fnlwgt 0.00000000000000014746745
## education_num 0.07115317483615653249007
## hours_per_week 0.00000000000000007024819
## workclass_federal_gov 0.23380892296546412767455
## workclass_local_gov 0.34039831047351232218290
## workclass_private 0.59342636700740247768238
## workclass_self_emp_inc 0.25228454920394965954600
## workclass_self_emp_not_inc 0.37355251037430103888681
## workclass_state_gov 0.27336759440519875496989
## workclass_without_pay 0.02902256054708250709862
## education_1st_4th 0.02575913686042425806977
## education_5th_6th 0.03377751006137189038192
## education_7th_8th 0.04181325841906491369571
## education_9th 0.03457598693983635756988
## education_10th 0.04169897113184294762389
## education_11th 0.04258242332902022891927
## education_12th 0.02259489745455385209527
## education_assoc_acdm 0.01612316397630951872455
## education_assoc_voc 0.02396154731609259971870
## education_bachelors 0.02313125773843037816246
## education_doctorate -0.00236095986828523292378
## education_hs_grad 0.08136069974154400141764
## education_masters 0.00781053529923663499707
## education_preschool 0.01580537886645695666576
## education_prof_school 0.00081174917095233460086
## education_some_college 0.06019533181453858711185
## marital_status_divorced -0.15800038801891941320221
## marital_status_married_af_spouse -0.01213593260656058159253
## marital_status_married_civ_spouse -0.22764912749961296878354
## marital_status_married_spouse_absent -0.05011347412568128295574
## marital_status_never_married -0.21338045356383475437134
## marital_status_separated -0.07934728773572455318153
## marital_status_widowed -0.07560093718684669783503
## occupation_adm_clerical -0.01662807591394751746683
## occupation_armed_forces -0.00089219956015555636642
## occupation_craft_repair -0.01722831079011618096719
## occupation_exec_managerial -0.01718460538153484401525
## occupation_farming_fishing -0.00902340635624422453265
## occupation_handlers_cleaners -0.01054057631715986723120
## occupation_machine_op_inspct -0.01256296645191474874170
## occupation_other_service -0.01563286177456036166178
## occupation_priv_house_serv -0.00362320017663710341321
## occupation_prof_specialty -0.01721376517153823740292
## occupation_protective_serv -0.00736974152168990738476
## occupation_sales -0.01645608747832790624832
## occupation_tech_support -0.00884466691823596398714
## occupation_transport_moving -0.01117940350162982196536
## relationship_husband -0.10534406616249904209415
## relationship_not_in_family -0.09370983404252411497204
## relationship_other_relative -0.03640053424658797054381
## relationship_own_child -0.07566586156854727962529
## relationship_unmarried -0.06583449993972255442909
## relationship_wife -0.04493398096855648338188
## race_amer_indian_eskimo 0.00012477497092454824766
## race_asian_pac_islander 0.00021384804872283603083
## race_black 0.00037216411940732747367
## race_other 0.00011250385665723550838
## race_white 0.00044322330389626857748
## sex_female 0.00887682296107714617628
## sex_male 0.00887682296107721729994
## native_country_cambodia 0.00019953301060879972940
## native_country_canada 0.00049884159383712083774
## native_country_china 0.00041557451135604484482
## native_country_columbia 0.00035413249968342961965
## native_country_cuba 0.00045075359963870026501
## native_country_dominican_republic 0.00038509914639786824121
## native_country_ecuador 0.00025655507863205952168
## native_country_el_salvador 0.00047381042981622874298
## native_country_england 0.00042643640841501917861
## native_country_france 0.00023476388117355391190
## native_country_germany 0.00054262885852531894757
## native_country_greece 0.00027385179265675168225
## native_country_guatemala 0.00036265096831837590049
## native_country_haiti 0.00032489717263857958258
## native_country_holand_netherlands 0.00003914246413862340119
## native_country_honduras 0.00017058408535777390067
## native_country_hong 0.00020706060932658513227
## native_country_hungary 0.00016603619302541910161
## native_country_india 0.00047381042981602106406
## native_country_iran 0.00029273719693346947693
## native_country_ireland 0.00023476388117352520765
## native_country_italy 0.00039099594374831072099
## native_country_jamaica 0.00039680435184217388968
## native_country_japan 0.00036890979444722805632
## native_country_laos 0.00017933363448442078518
## native_country_mexico 0.00116443950993676834452
## native_country_nicaragua 0.00027104598211032040079
## native_country_outlying_us(guam_usvi_etc) 0.00018355179638021205208
## native_country_peru 0.00026244785782395565728
## native_country_philippines 0.00065642180832194824396
## native_country_poland 0.00035197042994326269323
## native_country_portugal 0.00030800012500398964111
## native_country_puerto_rico 0.00051680896952552702987
## native_country_scotland 0.00017501364289221240647
## native_country_south 0.00039294170601682741617
## native_country_taiwan 0.00029011490978423412190
## native_country_thailand 0.00021072335204674788166
## native_country_trinadad&tobago 0.00019953301060854046955
## native_country_united_states 0.00234480815523931520120
## native_country_vietnam 0.00035628135419579266309
## native_country_yugoslavia 0.00018767499484327845503
## PC99
## l_capital_gain -0.00000000000000047790877
## l_capital_loss -0.00000000000000058157418
## age -0.00000000000000187018677
## fnlwgt 0.00000000000000009858096
## education_num -0.26534109481557655030315
## hours_per_week -0.00000000000000043587279
## workclass_federal_gov -0.03524616704774188868932
## workclass_local_gov -0.05131427646792969393674
## workclass_private -0.08945768449208016392937
## workclass_self_emp_inc -0.03803132597347500670759
## workclass_self_emp_not_inc -0.05631219721969626251790
## workclass_state_gov -0.04120954741863390446976
## workclass_without_pay -0.00437508545106597875052
## education_1st_4th -0.09638994750854651405447
## education_5th_6th -0.12642989034714849361229
## education_7th_8th -0.15655951824705008346150
## education_9th -0.12951240354202586679833
## education_10th -0.15626815673076141499642
## education_11th -0.15967408508739536210363
## education_12th -0.08479003574132669418528
## education_assoc_acdm -0.06097363525068080769564
## education_assoc_voc -0.09031798542840448196234
## education_bachelors -0.08802363488355152698617
## education_doctorate 0.00828937595050481534908
## education_hs_grad -0.30562247933139791156165
## education_masters -0.03020912023835848128628
## education_preschool -0.05912902810052728108658
## education_prof_school -0.00364411916434002457893
## education_some_college -0.22643101248733293884285
## marital_status_divorced -0.11745277732377222557059
## marital_status_married_af_spouse -0.00902149044016279516578
## marital_status_married_civ_spouse -0.16922757352318273937897
## marital_status_married_spouse_absent -0.03725286242144910942020
## marital_status_never_married -0.15862066677126065994408
## marital_status_separated -0.05898440778862852618136
## marital_status_widowed -0.05619948249628351627516
## occupation_adm_clerical -0.13500772825653017950032
## occupation_armed_forces -0.00724400323834416964841
## occupation_craft_repair -0.13988119332075285572436
## occupation_exec_managerial -0.13952633759627633414091
## occupation_farming_fishing -0.07326341301281798223943
## occupation_handlers_cleaners -0.08558171555499376192966
## occupation_machine_op_inspct -0.10200203376587441139733
## occupation_other_service -0.12692732251489152739410
## occupation_priv_house_serv -0.02941771660160136248052
## occupation_prof_specialty -0.13976309361213679061109
## occupation_protective_serv -0.05983687263819287283084
## occupation_sales -0.13361130884519500927610
## occupation_tech_support -0.07181218043484549617972
## occupation_transport_moving -0.09076852173570698623095
## relationship_husband -0.31760368547958817142529
## relationship_not_in_family -0.28252743359721588234379
## relationship_other_relative -0.10974461354386025324636
## relationship_own_child -0.22812634232372169806879
## relationship_unmarried -0.19848559652432454236681
## relationship_wife -0.13547225276902602475460
## race_amer_indian_eskimo 0.02384996471190251043915
## race_asian_pac_islander 0.04087573315345888885775
## race_black 0.07113687183489600385222
## race_other 0.02150441704245145344010
## race_white 0.08471939587777682634240
## sex_female -0.16146221973191313137086
## sex_male -0.16146221973191102194711
## native_country_cambodia -0.00870904652425654769721
## native_country_canada -0.02177301207307820452019
## native_country_china -0.01813864153431613349121
## native_country_columbia -0.01545687305616950425746
## native_country_cuba -0.01967410835056540227561
## native_country_dominican_republic -0.01680847881861829290484
## native_country_ecuador -0.01119789707489847116473
## native_country_el_salvador -0.02068047319266814662586
## native_country_england -0.01861273234535961232372
## native_country_france -0.01024677348934689528892
## native_country_germany -0.02368420122507294486858
## native_country_greece -0.01195284928405276718422
## native_country_guatemala -0.01582867990372877411986
## native_country_haiti -0.01418083445679413877316
## native_country_holand_netherlands -0.00170845686243226808562
## native_country_honduras -0.00744550854591300576013
## native_country_hong -0.00903760472748421118949
## native_country_hungary -0.00724700602350136953433
## native_country_india -0.02068047319266797315351
## native_country_iran -0.01277714328920324417249
## native_country_ireland -0.01024677348934619793008
## native_country_italy -0.01706585719581456966898
## native_country_jamaica -0.01731937763419482897986
## native_country_japan -0.01610185980402167524317
## native_country_laos -0.00782740139751242867960
## native_country_mexico -0.05082446175590132203537
## native_country_nicaragua -0.01183038366037462985059
## native_country_outlying_us(guam_usvi_etc) -0.00801151212728843514777
## native_country_peru -0.01145510007094534959959
## native_country_philippines -0.02865093876332588246347
## native_country_poland -0.01536250488171059247478
## native_country_portugal -0.01344332654509099167495
## native_country_puerto_rico -0.02255723675004699113611
## native_country_scotland -0.00763884609206848946839
## native_country_south -0.01715078416639126066001
## native_country_taiwan -0.01266268793811808207606
## native_country_thailand -0.00919747299518725545953
## native_country_trinadad&tobago -0.00870904652425610881217
## native_country_united_states -0.10234418481501336706252
## native_country_vietnam -0.01555066442364854556457
## native_country_yugoslavia -0.00819147797421360124304
## PC100
## l_capital_gain 0.0000000000000000000000
## l_capital_loss 0.0000000000000001614242
## age 0.0000000000000011065637
## fnlwgt -0.0000000000000006257349
## education_num 0.0911662438947154762925
## hours_per_week -0.0000000000000007971054
## workclass_federal_gov 0.0125389165122214343157
## workclass_local_gov 0.0182551886463255194637
## workclass_private 0.0318248062464065520349
## workclass_self_emp_inc 0.0135297441161348497990
## workclass_self_emp_not_inc 0.0200332120823549439392
## workclass_state_gov 0.0146604047438341732190
## workclass_without_pay 0.0015564481417352769334
## education_1st_4th 0.0264446577322659560905
## education_5th_6th 0.0339726988680623190331
## education_7th_8th 0.0410285009505450826151
## education_9th 0.0329122860968803013226
## education_10th 0.0382033194293470226843
## education_11th 0.0371220668985710669507
## education_12th 0.0184165608951342811561
## education_assoc_acdm 0.0038130426774405316165
## education_assoc_voc 0.0115948862386233818994
## education_bachelors -0.0054009059456377912778
## education_doctorate -0.0132566912549627550361
## education_hs_grad 0.0602200824560386871465
## education_masters -0.0114975182971702536566
## education_preschool 0.0165089894571969694748
## education_prof_school -0.0112175880037827246927
## education_some_college 0.0383180113696844834581
## marital_status_divorced 0.0227302357600339816068
## marital_status_married_af_spouse 0.0017458983029967692358
## marital_status_married_civ_spouse 0.0327500356392321570476
## marital_status_married_spouse_absent 0.0072094195205058145617
## marital_status_never_married 0.0306973171199308690615
## marital_status_separated 0.0114150514423821229648
## marital_status_widowed 0.0108760943405461288358
## occupation_adm_clerical -0.0141092345123835193055
## occupation_armed_forces -0.0007570480728634324842
## occupation_craft_repair -0.0146185450708777031625
## occupation_exec_managerial -0.0145814602113697351637
## occupation_farming_fishing -0.0076565296574096653598
## occupation_handlers_cleaners -0.0089438768456527699413
## occupation_machine_op_inspct -0.0106599128340888072569
## occupation_other_service -0.0132647766355182463588
## occupation_priv_house_serv -0.0030743533552548426256
## occupation_prof_specialty -0.0146062028404999218190
## occupation_protective_serv -0.0062533640069539885714
## occupation_sales -0.0139632990966375263031
## occupation_tech_support -0.0075048658894228525290
## occupation_transport_moving -0.0094859337020933142542
## relationship_husband 0.1140606688297014503775
## relationship_not_in_family 0.1014637723431254245909
## relationship_other_relative 0.0394124646329857414306
## relationship_own_child 0.0819267671400818325855
## relationship_unmarried 0.0712819180874490615496
## relationship_wife 0.0486520039443803370416
## race_amer_indian_eskimo -0.0018001941937725023535
## race_asian_pac_islander -0.0030852983800153175979
## race_black -0.0053694076778405914682
## race_other -0.0016231523680602746341
## race_white -0.0063946159418417133219
## sex_female -0.6762106288231641837427
## sex_male -0.6762106288231549688916
## native_country_cambodia 0.0077885026586399924708
## native_country_canada 0.0194716105770555807097
## native_country_china 0.0162213920227287644593
## native_country_columbia 0.0138230857484737904711
## native_country_cuba 0.0175945604111744299813
## native_country_dominican_republic 0.0150318271468512960898
## native_country_ecuador 0.0100142823782279691280
## native_country_el_salvador 0.0184945527612497377656
## native_country_england 0.0166453715630796583724
## native_country_france 0.0091636922988048742644
## native_country_germany 0.0211807875518272813176
## native_country_greece 0.0106894363427597321320
## native_country_guatemala 0.0141555927126573791175
## native_country_haiti 0.0126819240844407033625
## native_country_holand_netherlands 0.0015278734334655092678
## native_country_honduras 0.0066585203033722520360
## native_country_hong 0.0080823323485189769305
## native_country_hungary 0.0064809994439708300262
## native_country_india 0.0184945527612494463321
## native_country_iran 0.0114266026941779452741
## native_country_ireland 0.0091636922988047441602
## native_country_italy 0.0152620006990869597208
## native_country_jamaica 0.0154887240955968279177
## native_country_japan 0.0143998975712655748194
## native_country_laos 0.0070000471836929936686
## native_country_mexico 0.0454523298741483158802
## native_country_nicaragua 0.0105799153024310425147
## native_country_outlying_us(guam_usvi_etc) 0.0071646974590530631763
## native_country_peru 0.0102442990870538971904
## native_country_philippines 0.0256225422736226851606
## native_country_poland 0.0137386922645700484263
## native_country_portugal 0.0120223705598304902303
## native_country_puerto_rico 0.0201729429174591842755
## native_country_scotland 0.0068314221231123052613
## native_country_south 0.0153379509118089750463
## native_country_taiwan 0.0113242452427924165242
## native_country_thailand 0.0082253025834999066862
## native_country_trinadad&tobago 0.0077885026586404027329
## native_country_united_states 0.0915264321195225633021
## native_country_vietnam 0.0139069633937397869189
## native_country_yugoslavia 0.0073256409645607910644
## PC101
## l_capital_gain 0.0000000000000000000000
## l_capital_loss -0.0000000000000001196959
## age 0.0000000000000006536729
## fnlwgt 0.0000000000000001333481
## education_num 0.0269013893800906511711
## hours_per_week -0.0000000000000007949370
## workclass_federal_gov 0.0039778198066231897426
## workclass_local_gov 0.0057912380946320285435
## workclass_private 0.0100960353715982033285
## workclass_self_emp_inc 0.0042921478958129234693
## workclass_self_emp_not_inc 0.0063552945530666853785
## workclass_state_gov 0.0046508363227633475051
## workclass_without_pay 0.0004937643727145589207
## education_1st_4th 0.0250937941015730754668
## education_5th_6th 0.0345523259309744243395
## education_7th_8th 0.0451749511960863048277
## education_9th 0.0397311923588766907622
## education_10th 0.0514021340249305111469
## education_11th 0.0569167654501593137106
## education_12th 0.0331994444665001109396
## education_assoc_acdm 0.0455265273272939738347
## education_assoc_voc 0.0537830886712727107568
## education_bachelors 0.0907625901633584003525
## education_doctorate 0.0230575799647717571972
## education_hs_grad 0.1338133274736197642074
## education_masters 0.0532914739780030871641
## education_preschool 0.0147347235784887065080
## education_prof_school 0.0289995178421332752694
## education_some_college 0.1136006232140918253970
## marital_status_divorced 0.0282287638347913094616
## marital_status_married_af_spouse 0.0021682375579011405921
## marital_status_married_civ_spouse 0.0406723903526950911202
## marital_status_married_spouse_absent 0.0089534047591417371958
## marital_status_never_married 0.0381231116337067202360
## marital_status_separated 0.0141763945931253753513
## marital_status_widowed 0.0135070617755755871536
## occupation_adm_clerical -0.2954112942294813137778
## occupation_armed_forces -0.0158506509195945888280
## occupation_craft_repair -0.3060749550479841540884
## occupation_exec_managerial -0.3052984929136601244259
## occupation_farming_fishing -0.1603081537425896374582
## occupation_handlers_cleaners -0.1872619121954382792605
## occupation_machine_op_inspct -0.2231913179930036517096
## occupation_other_service -0.2777305055156598090349
## occupation_priv_house_serv -0.0643690983233379671047
## occupation_prof_specialty -0.3058165403022435890890
## occupation_protective_serv -0.1309294528318101780151
## occupation_sales -0.2923557797717774575652
## occupation_tech_support -0.1571327022360491099118
## occupation_transport_moving -0.1986111967626947027998
## relationship_husband 0.2064931294503971614951
## relationship_not_in_family 0.1836879626600800841096
## relationship_other_relative 0.0713515293652111498579
## relationship_own_child 0.1483185633232372291346
## relationship_unmarried 0.1290473437524724542591
## relationship_wife 0.0880786045846096987688
## race_amer_indian_eskimo 0.0006933644494587344696
## race_asian_pac_islander 0.0011883363584194609006
## race_black 0.0020680859939134505626
## race_other 0.0006251748572245019279
## race_white 0.0024629561507045279363
## sex_female 0.0730172035917653894366
## sex_male 0.0730172035917645428915
## native_country_cambodia -0.0154362857702547932176
## native_country_canada -0.0385914158918725241909
## native_country_china -0.0321497024304649436921
## native_country_columbia -0.0273964215192843835167
## native_country_cuba -0.0348712293508173371004
## native_country_dominican_republic -0.0297920652605101164700
## native_country_ecuador -0.0198476307127999108959
## native_country_el_salvador -0.0366549533496011298306
## native_country_england -0.0329900012186196064934
## native_country_france -0.0181618186748787983908
## native_country_germany -0.0419788891162988508921
## native_country_greece -0.0211857402304068756504
## native_country_guatemala -0.0280554278449791291705
## native_country_haiti -0.0251347162431701035001
## native_country_holand_netherlands -0.0030281418615922262028
## native_country_honduras -0.0131967371283971506013
## native_country_hong -0.0160186363528431602310
## native_country_hungary -0.0128449027853910335145
## native_country_india -0.0366549533496005192079
## native_country_iran -0.0226467541068138787652
## native_country_ireland -0.0181618186748782432793
## native_country_italy -0.0302482536814156557914
## native_country_jamaica -0.0306976041269017320412
## native_country_japan -0.0285396235598457982674
## native_country_laos -0.0138736203181335608636
## native_country_mexico -0.0900834452541257740821
## native_country_nicaragua -0.0209686769320466641353
## native_country_outlying_us(guam_usvi_etc) -0.0141999460336152578954
## native_country_peru -0.0203035082806701031033
## native_country_philippines -0.0507821467143367219488
## native_country_poland -0.0272291593391472928898
## native_country_portugal -0.0238275257429051770530
## native_country_puerto_rico -0.0399814091808115418258
## native_country_scotland -0.0135394168470387831621
## native_country_south -0.0303987818688313711502
## native_country_taiwan -0.0224438885574839153136
## native_country_thailand -0.0163019936938542456262
## native_country_trinadad&tobago -0.0154362857702546214800
## native_country_united_states -0.1813992013164972827433
## native_country_vietnam -0.0275626613421116606339
## native_country_yugoslavia -0.0145189251818250725928
## PC102
## l_capital_gain 0.00000000000000000000000
## l_capital_loss -0.00000000000000027663418
## age -0.00000000000000074265554
## fnlwgt 0.00000000000000058186460
## education_num 0.09593815739270303288855
## hours_per_week 0.00000000000000007285839
## workclass_federal_gov -0.00535643737987581171345
## workclass_local_gov -0.00779834324174273271768
## workclass_private -0.01359508069292971951803
## workclass_self_emp_inc -0.00577970409589892344243
## workclass_self_emp_not_inc -0.00855788823000153478504
## workclass_state_gov -0.00626270538586369378276
## workclass_without_pay -0.00066489134034072579042
## education_1st_4th 0.03186371372803759038916
## education_5th_6th 0.04147463827296443000803
## education_7th_8th 0.05089277321068111370472
## education_9th 0.04164026638914807010305
## education_10th 0.04956741234490091158049
## education_11th 0.04979089814532186575313
## education_12th 0.02585972453708243468107
## education_assoc_acdm 0.01437401784397500034696
## education_assoc_voc 0.02395406423321175606866
## education_bachelors 0.01586841946190739593980
## education_doctorate -0.00765708329164661860577
## education_hs_grad 0.09045180327737822878476
## education_masters 0.00112833781768298391235
## education_preschool 0.01967477965428978195495
## education_prof_school -0.00426506317664234000514
## education_some_college 0.06419468814162049286054
## marital_status_divorced 0.01669329256152034604566
## marital_status_married_af_spouse 0.00128220364549958194302
## marital_status_married_civ_spouse 0.02405192502610049853917
## marital_status_married_spouse_absent 0.00529466348369980570332
## marital_status_never_married 0.02254438981393127802710
## marital_status_separated 0.00838331794461751218794
## marital_status_widowed 0.00798750293090421531472
## occupation_adm_clerical 0.09318188711001577917425
## occupation_armed_forces 0.00499978705439253160586
## occupation_craft_repair 0.09654553656411260509351
## occupation_exec_managerial 0.09630061631780170716688
## occupation_farming_fishing 0.05056616512858536777175
## occupation_handlers_cleaners 0.05906821676440679458331
## occupation_machine_op_inspct 0.07040146603536359681819
## occupation_other_service 0.08760481781669476886165
## occupation_priv_house_serv 0.02030401061334952128590
## occupation_prof_specialty 0.09646402453618604933006
## occupation_protective_serv 0.04129921140954210395657
## occupation_sales 0.09221808305505065084251
## occupation_tech_support 0.04956452920746189788614
## occupation_transport_moving 0.06264813321981450855436
## relationship_husband -0.06470157958702035805310
## relationship_not_in_family -0.05755591659084101363586
## relationship_other_relative -0.02235695041363496698983
## relationship_own_child -0.04647343645104765746945
## relationship_unmarried -0.04043508374596992138716
## relationship_wife -0.02759813297233073767223
## race_amer_indian_eskimo -0.00545685357467413142268
## race_asian_pac_islander -0.00935233629358539833576
## race_black -0.01627606153939807967501
## race_other -0.00492019407269056203297
## race_white -0.01938373258930570566805
## sex_female -0.09391689321118971978120
## sex_male -0.09391689321118837363578
## native_country_cambodia -0.05458597328657401048790
## native_country_canada -0.13646741374949875047484
## native_country_china -0.11368815168104534629734
## native_country_columbia -0.09687954443555989170189
## native_country_cuba -0.12331204683199734062349
## native_country_dominican_republic -0.10535104769800279767011
## native_country_ecuador -0.07018542258257363941620
## native_country_el_salvador -0.12961967238372426591830
## native_country_england -0.11665962602958039606715
## native_country_france -0.06422403444570144726011
## native_country_germany -0.14844623596681122412733
## native_country_greece -0.07491726102283906285617
## native_country_guatemala -0.09920993026965646555126
## native_country_haiti -0.08888167593134005395328
## native_country_holand_netherlands -0.01070815047252789836696
## native_country_honduras -0.04666645533012473562318
## native_country_hong -0.05664528819028405437486
## native_country_hungary -0.04542229463405733635994
## native_country_india -0.12961967238372260058377
## native_country_iran -0.08008371528624338986369
## native_country_ireland -0.06422403444570097541533
## native_country_italy -0.10696422649812367677846
## native_country_jamaica -0.10855322477003072345614
## native_country_japan -0.10092214878844713021877
## native_country_laos -0.04906005753877842184840
## native_country_mexico -0.31855412690530743313744
## native_country_nicaragua -0.07414967926242371776269
## native_country_outlying_us(guam_usvi_etc) -0.05021401432949404441963
## native_country_peru -0.07179750214057543933333
## native_country_philippines -0.17957641787930908594539
## native_country_poland -0.09628806996866380585320
## native_country_portugal -0.08425917367983115635610
## native_country_puerto_rico -0.14138272418542860431323
## native_country_scotland -0.04787824333703437351684
## native_country_south -0.10749652602531961642640
## native_country_taiwan -0.07936633977108958903912
## native_country_thailand -0.05764729971541285996617
## native_country_trinadad&tobago -0.05458597328657428110477
## native_country_united_states -0.64146596562424929022228
## native_country_vietnam -0.09746740363064609891097
## native_country_yugoslavia -0.05134199210357102971525
## PC103
## l_capital_gain -0.0000000000000003415612
## l_capital_loss -0.0000000000000004086849
## age -0.0000000000000009216173
## fnlwgt 0.0000000000000004148781
## education_num -0.5138138401367129404207
## hours_per_week -0.0000000000000004342370
## workclass_federal_gov 0.0013689912362283170304
## workclass_local_gov 0.0019930903318604738760
## workclass_private 0.0034746128825031822630
## workclass_self_emp_inc 0.0014771691880510607990
## workclass_self_emp_not_inc 0.0021872138431992460203
## workclass_state_gov 0.0016006140238920142215
## workclass_without_pay 0.0001699320562189731603
## education_1st_4th -0.0639482231569886289124
## education_5th_6th -0.0707591127947275883026
## education_7th_8th -0.0684936451358790221455
## education_9th -0.0377551743162137520837
## education_10th -0.0178213894260884492260
## education_11th 0.0169827138232687274710
## education_12th 0.0328482689464454497008
## education_assoc_acdm 0.1970284028210219362531
## education_assoc_voc 0.1825030756141776122625
## education_bachelors 0.4849656328469444943607
## education_doctorate 0.2074430242007861691089
## education_hs_grad 0.2317005475143860682152
## education_masters 0.3437679338826069574964
## education_preschool -0.0445034631231084332192
## education_prof_school 0.2222322866763127846568
## education_some_college 0.2874718617379221075048
## marital_status_divorced 0.0500501633444202162493
## marital_status_married_af_spouse 0.0038443285925506753484
## marital_status_married_civ_spouse 0.0721129622492197169814
## marital_status_married_spouse_absent 0.0158745658614859765090
## marital_status_never_married 0.0675930400506198764132
## marital_status_separated 0.0251350313876073337693
## marital_status_widowed 0.0239482909038156895065
## occupation_adm_clerical 0.0259848632470896685753
## occupation_armed_forces 0.0013942493214326597516
## occupation_craft_repair 0.0269228563891761168980
## occupation_exec_managerial 0.0268545575029419392177
## occupation_farming_fishing 0.0141009688314717544777
## occupation_handlers_cleaners 0.0164718657506946301872
## occupation_machine_op_inspct 0.0196322753708959123198
## occupation_other_service 0.0244296319955978613603
## occupation_priv_house_serv 0.0056620117441113330947
## occupation_prof_specialty 0.0269001258031753946731
## occupation_protective_serv 0.0115167699858080493924
## occupation_sales 0.0257160951705677348622
## occupation_tech_support 0.0138216508948962833736
## occupation_transport_moving 0.0174701674852363979251
## relationship_husband -0.0961083350690214166523
## relationship_not_in_family -0.0854941000239025084007
## relationship_other_relative -0.0332092244917339129984
## relationship_own_child -0.0690320797537710695302
## relationship_unmarried -0.0600626538332800150033
## relationship_wife -0.0409945263765445211401
## race_amer_indian_eskimo 0.0188222802868016972355
## race_asian_pac_islander 0.0322589368846717822192
## race_black 0.0561408855978091370087
## race_other 0.0169711850674268277528
## race_white 0.0668601498661432896986
## sex_female -0.0469205662041534826701
## sex_male -0.0469205662041528442918
## native_country_cambodia 0.0026797178645668394241
## native_country_canada 0.0066994164349852402401
## native_country_china 0.0055811438856252235455
## native_country_columbia 0.0047559808922360306480
## native_country_cuba 0.0060535971956970410085
## native_country_dominican_republic 0.0051718613330395939859
## native_country_ecuador 0.0034455212466266166987
## native_country_el_salvador 0.0063632492153691423004
## native_country_england 0.0057270185932920218003
## native_country_france 0.0031528666079683438997
## native_country_germany 0.0072874771025800725785
## native_country_greece 0.0036778152085581040237
## native_country_guatemala 0.0048703834791088435746
## native_country_haiti 0.0043633519837672756631
## native_country_holand_netherlands 0.0005256812398864441072
## native_country_honduras 0.0022909353171669810667
## native_country_hong 0.0027808131204351250153
## native_country_hungary 0.0022298573617340693674
## native_country_india 0.0063632492153690746461
## native_country_iran 0.0039314451972263702098
## native_country_ireland 0.0031528666079683651501
## native_country_italy 0.0052510550120956536041
## native_country_jamaica 0.0053290616280743004218
## native_country_japan 0.0049544391856687058223
## native_country_laos 0.0024084413029174735373
## native_country_mexico 0.0156383615295831897296
## native_country_nicaragua 0.0036401333201156516918
## native_country_outlying_us(guam_usvi_etc) 0.0024650909958851617391
## native_country_peru 0.0035246609620256793768
## native_country_philippines 0.0088157104485382005443
## native_country_poland 0.0047269444090529341707
## native_country_portugal 0.0041364255204920765199
## native_country_puerto_rico 0.0069407173478758616911
## native_country_scotland 0.0023504240424688143188
## native_country_south 0.0052771864972819887071
## native_country_taiwan 0.0038962280183831563864
## native_country_thailand 0.0028300035630109523013
## native_country_trinadad&tobago 0.0026797178645667353407
## native_country_united_states 0.0314906505114500856468
## native_country_vietnam 0.0047848398956041211794
## native_country_yugoslavia 0.0025204653349329125128
## PC104
## l_capital_gain 0.00000000000000000000000
## l_capital_loss -0.00000000000000025692881
## age -0.00000000000000004178401
## fnlwgt 0.00000000000000031923179
## education_num 0.11634329888698564936522
## hours_per_week 0.00000000000000040245585
## workclass_federal_gov -0.00155953631808215375382
## workclass_local_gov -0.00227050157480770866542
## workclass_private -0.00395823204571248143946
## workclass_self_emp_inc -0.00168277117906494365178
## workclass_self_emp_not_inc -0.00249164445586812569045
## workclass_state_gov -0.00182339786802924487541
## workclass_without_pay -0.00019358430227057167269
## education_1st_4th 0.02863443501477189873095
## education_5th_6th 0.03610121129860915933918
## education_7th_8th 0.04257986257700104026913
## education_9th 0.03312385547050751555265
## education_10th 0.03688634543905575102762
## education_11th 0.03378127961254989708451
## education_12th 0.01529157822499299310137
## education_assoc_acdm -0.00826482523601662980028
## education_assoc_voc -0.00009654580038363563474
## education_bachelors -0.03420515674854131965565
## education_doctorate -0.02489344791062977901852
## education_hs_grad 0.04253306739164042227230
## education_masters -0.03143606361360130191374
## education_preschool 0.01815134288090193906418
## education_prof_school -0.02387049157514018610238
## education_some_college 0.01864864259303963128778
## marital_status_divorced 0.00859224758085765615012
## marital_status_married_af_spouse 0.00065996633861261570601
## marital_status_married_civ_spouse 0.01237982823693285251709
## marital_status_married_spouse_absent 0.00272522986951905139830
## marital_status_never_married 0.01160388090766375016050
## marital_status_separated 0.00431499915692177063442
## marital_status_widowed 0.00411126819243286950600
## occupation_adm_clerical 0.01346361548894954747457
## occupation_armed_forces 0.00072240660191286827033
## occupation_craft_repair 0.01394962070191654163187
## occupation_exec_managerial 0.01391423279420152085695
## occupation_farming_fishing 0.00730617746814010531053
## occupation_handlers_cleaners 0.00853461743262342448224
## occupation_machine_op_inspct 0.01017212999173739383652
## occupation_other_service 0.01265779883456206837689
## occupation_priv_house_serv 0.00293367520512818067205
## occupation_prof_specialty 0.01393784323490289585312
## occupation_protective_serv 0.00596721873381281329302
## occupation_sales 0.01332435787563840054459
## occupation_tech_support 0.00716145362405275383300
## occupation_transport_moving 0.00905187051831478697861
## relationship_husband 0.02048453306375909790948
## relationship_not_in_family 0.01822221472714317253017
## relationship_other_relative 0.00707821498139758753521
## relationship_own_child 0.01471349929390233790549
## relationship_unmarried 0.01280175561736027547988
## relationship_wife 0.00873757442983909456136
## race_amer_indian_eskimo 0.19208789717231186666702
## race_asian_pac_islander 0.32921363707116912955541
## race_black 0.57293720503335032745440
## race_other 0.17319682856970555762111
## race_white 0.68233101392176842558968
## sex_female 0.01524408365429517388245
## sex_male 0.01524408365429499173649
## native_country_cambodia 0.00019083324809399053565
## native_country_canada 0.00047709179220968122703
## native_country_china 0.00039745520595907586625
## native_country_columbia 0.00033869210394852841683
## native_country_cuba 0.00043110046426261372076
## native_country_dominican_republic 0.00036830858573796434151
## native_country_ecuador 0.00024536911872899050792
## native_country_el_salvador 0.00045315200240168742457
## native_country_england 0.00040784351759684024392
## native_country_france 0.00022452803093987429512
## native_country_germany 0.00051896990510994444289
## native_country_greece 0.00026191168533763183957
## native_country_guatemala 0.00034683916208900724592
## native_country_haiti 0.00031073145522144925753
## native_country_holand_netherlands 0.00003743582852345611725
## native_country_honduras 0.00016314651386604268023
## native_country_hong 0.00019803263885820156036
## native_country_hungary 0.00015879691244848097775
## native_country_india 0.00045315200240195413831
## native_country_iran 0.00027997367432233200620
## native_country_ireland 0.00022452803093985534868
## native_country_italy 0.00037394827908156127831
## native_country_jamaica 0.00037950343699441250024
## native_country_japan 0.00035282509953276898701
## native_country_laos 0.00017151457724575791888
## native_country_mexico 0.00111366922802555662689
## native_country_nicaragua 0.00025922820986413975738
## native_country_outlying_us(guam_usvi_etc) 0.00017554882467744317622
## native_country_peru 0.00025100496910777068699
## native_country_philippines 0.00062780141200530659596
## native_country_poland 0.00033662430178456109395
## native_country_portugal 0.00029457112930151332615
## native_country_puerto_rico 0.00049427577921970261739
## native_country_scotland 0.00016738293995555668511
## native_country_south 0.00037580920491314190801
## native_country_taiwan 0.00027746572051260537644
## native_country_thailand 0.00020153568373289078102
## native_country_trinadad&tobago 0.00019083324809397397446
## native_country_united_states 0.00224257307127525423729
## native_country_vietnam 0.00034074726707654487586
## native_country_yugoslavia 0.00017949224914054191880We need 37 principal components to explain half of the variation of the data.
Visualizing Principle Components’ Ability to Explain Variation
Looking at at the plot below, we can see a visual ranking of how much of the variation each component captures. Each component is ranked according to its Eigenvalue. The eigenvalue is a measure of the proportion of variance explain by that component.
The scree plot helps us select a cut off point for determining how we can explain the most variation with the fewest components as possible. We evaluate the slope of the line connecting the components, and find the point when the absolute value of the slope becomes small, and each component following continues that trend. The ‘elbow’ in the plot below is at PC5. The components after PC5 do much less for us in accounting for the variance the income dataset.
screeplot(pr_income, type = "lines")
#elbow is around pc5Interpretation of the Top 5 Principal Components
We will look at the factor loadings for each component to determine what each component is telling us about the data.
We can interpret factor loadings as coefficients of our linear combination for each feature within the principal component. They tell us the relative (transformed) value of each original feature. For example, a factor loading of -.75 for age would mean that this component contains the observations of younger people.
Component Interpretation
We want to find the most influential original features within our top 5 PCs. To this we will filter to show only those where at least one of the PCs has a factor loading greater than or equal to the absolute value of 0.25. This gives us the highlights of each component. Here are descriptions of the type of workers these principal components:
PC1: middle-aged husbands PC2: young men with little formal education PC3: Asian and Pacific Islander PC4: Career-focus males without family PC5: Mexican people
Note: these components are all quite male-dominated.
rownames_to_column(as.data.frame(pr_income$rotation)) %>%
select(1:6) %>%
filter(abs(PC1) >= 0.25 | abs(PC2) >= 0.25 | abs(PC3) >= 0.25 | abs(PC4) >= 0.25 | abs(PC5) >= 0.25) %>% rename("husbands" = PC1, "low_ed_male_laborer" = PC2, "asian_pac_isl" = PC3, "male_yopros" = PC4, "mexican" = PC5)## rowname husbands low_ed_male_laborer
## 1 age 0.18536748 -0.091194280
## 2 education_num 0.10559165 -0.456305049
## 3 marital_status_divorced -0.12297307 -0.121245468
## 4 marital_status_married_civ_spouse 0.39812029 0.064962147
## 5 marital_status_never_married -0.27611175 0.026881327
## 6 occupation_prof_specialty 0.06030228 -0.283025307
## 7 relationship_husband 0.41562618 0.100400172
## 8 relationship_own_child -0.18619502 0.088025922
## 9 relationship_unmarried -0.15438415 -0.061035972
## 10 race_asian_pac_islander -0.01133707 0.006958696
## 11 race_black -0.11602195 0.029250746
## 12 race_white 0.11374015 -0.046471243
## 13 sex_female -0.33225474 -0.195130792
## 14 sex_male 0.33225474 0.195130792
## 15 native_country_mexico -0.01221202 0.197502680
## 16 native_country_united_states 0.02207168 -0.180839129
## asian_pac_isl male_yopros mexican
## 1 0.14546866 -0.351735676 0.043968457
## 2 0.02123203 0.229444433 -0.001380269
## 3 0.01730921 -0.254545406 0.075931750
## 4 0.06343668 -0.060996695 -0.082585727
## 5 -0.14483745 0.374119315 0.008549345
## 6 0.10002404 0.130027759 0.106651957
## 7 0.02193476 -0.015109831 -0.091256658
## 8 -0.16118057 0.290041931 -0.093754589
## 9 0.10824314 -0.277233657 -0.043232822
## 10 0.39994102 0.219542435 -0.113266352
## 11 0.16183171 -0.066337055 -0.451022089
## 12 -0.36865300 -0.048990952 0.459449764
## 13 0.08166583 -0.201765893 0.065149987
## 14 -0.08166583 0.201765893 -0.065149987
## 15 0.14470615 0.006009948 0.297613434
## 16 -0.44698474 -0.128490322 -0.288966406Let us now determine if these principle components are good predictors of income_above_50k.
prc = bind_cols(select(income, income_above_50k), as.data.frame(pr_income$x)) %>%
select(1:6) %>%
filter(abs(PC1) >= 0.25 | abs(PC2) >= 0.25 | abs(PC3) >= 0.25 | abs(PC4) >= 0.25 | abs(PC5) >= 0.25) %>% rename("husbands" = PC1, "low_ed_male_laborer" = PC2, "asian_pac_isl" = PC3, "male_yopros" = PC4, "mexican" = PC5)
prc %>%
pivot_longer(cols = -income_above_50k, names_to = "component", values_to = "loading") %>% mutate(income_above_50k = as.factor(income_above_50k)) %>%
ggplot(aes(loading, fill=income_above_50k)) +
geom_density(alpha = 0.5) +
facet_grid(.~component)
Based on the density plots above, PC1 ‘husbands’ followed by PC2 ‘low_ed_male_laborer’ seem most predictive of income_above_50k.
Making a Logistic Regression Model using PC1 and PC2
What if we used only PC1 and PC2 to predict class using a logistic regression model?
prc$income_above_50k = factor(ifelse(prc$income_above_50k == 'TRUE', 'yes','no'),levels = c('yes','no'))
prc.pc1and2 = prc %>% select(income_above_50k, husbands, low_ed_male_laborer)
ctrl <- trainControl(method = "cv", number = 3, classProbs = TRUE, summaryFunction = twoClassSummary)
#splitting our data
prc.pc1and2_index <- createDataPartition(prc.pc1and2$income_above_50k, p = 0.80, list = FALSE)
train <- prc.pc1and2[prc.pc1and2_index, ]
test <- prc.pc1and2[-prc.pc1and2_index, ]
fit.prc.pc1and2 = train(income_above_50k ~ .,
data = train,
method = "glm",
family = "binomial",
metric = "ROC",
trControl = ctrl)
confusionMatrix(predict(fit.prc.pc1and2, test),factor(test$income_above_50k))## Confusion Matrix and Statistics
##
## Reference
## Prediction yes no
## yes 1085 587
## no 1156 6215
##
## Accuracy : 0.8073
## 95% CI : (0.799, 0.8153)
## No Information Rate : 0.7522
## P-Value [Acc > NIR] : < 0.00000000000000022
##
## Kappa : 0.4349
##
## Mcnemar's Test P-Value : < 0.00000000000000022
##
## Sensitivity : 0.4842
## Specificity : 0.9137
## Pos Pred Value : 0.6489
## Neg Pred Value : 0.8432
## Prevalence : 0.2478
## Detection Rate : 0.1200
## Detection Prevalence : 0.1849
## Balanced Accuracy : 0.6989
##
## 'Positive' Class : yes
## The Specificity (true negative rate) is much higher lower than the Sensitivity (true positive) rate. This makes sense given that there are roughly 3x more ‘<50k’ than ‘50k’ observations in the data.
income %>% group_by(income_above_50k) %>% count()## # A tibble: 2 × 2
## # Groups: income_above_50k [2]
## income_above_50k n
## <fct> <int>
## 1 FALSE 34014
## 2 TRUE 11208What if we add the rest of the principal components to the LR model?
prc_index <- createDataPartition(prc$income_above_50k, p = 0.80, list = FALSE)
train <- prc[prc_index, ]
test <- prc[-prc_index, ]
fit.allpc = train(income_above_50k ~ .,
data = train,
method = "glm",
family = "binomial",
metric = "ROC",
trControl = ctrl)
confusionMatrix(predict(fit.allpc, test),factor(test$income_above_50k))## Confusion Matrix and Statistics
##
## Reference
## Prediction yes no
## yes 1104 564
## no 1137 6238
##
## Accuracy : 0.8119
## 95% CI : (0.8037, 0.8199)
## No Information Rate : 0.7522
## P-Value [Acc > NIR] : < 0.00000000000000022
##
## Kappa : 0.4481
##
## Mcnemar's Test P-Value : < 0.00000000000000022
##
## Sensitivity : 0.4926
## Specificity : 0.9171
## Pos Pred Value : 0.6619
## Neg Pred Value : 0.8458
## Prevalence : 0.2478
## Detection Rate : 0.1221
## Detection Prevalence : 0.1845
## Balanced Accuracy : 0.7049
##
## 'Positive' Class : yes
## Not a significance increase in LR model performance. We will bring along PC1 and PC2 as guides for the rest of our journey.
PART II: K-means
Code adapted from This article on clustering
Major Assumptions: flnwgt does not include age information
# Drop target column and normalize data
#income_features = recipe(~ ., data = income) %>%
#step_rm(income_above_50k) %>% ## will remove variables based on their name, type, or role
#step_naomit(everything(), skip = TRUE) %>%
#step_dummy(all_nominal(), -all_outcomes()) %>% #converts our factor columns into numeric binary (0 and 1) variables.
#step_zv(all_numeric(), -all_outcomes()) %>% ## step_zv(): removes any numeric variables that have zero variance.
#step_normalize() %>%
#prep() %>%
#bake(new_data = NULL)
# Print out data
#income_features %>%
#slice_head(n = 5)
income_scaled = as.data.frame(lapply(income %>% select(-income_above_50k), function(x) scale(x, center = TRUE, scale = TRUE)))
income_features = bind_cols(prc %>% select(2:3), income_scaled)Choosing number of clusters
For this exercise, we build a
set.seed(503)
# Create 10 models with 1 to 10 clusters
kclusts <- tibble(k = 1:10) %>%
mutate(
model = map(k, ~ kmeans(x = income_features, centers = .x)),
glanced = map(model, glance)) %>%
unnest(cols = c(glanced))
# View results
kclusts## # A tibble: 10 × 6
## k model totss tot.withinss betweenss iter
## <int> <list> <dbl> <dbl> <dbl> <int>
## 1 1 <kmeans> 5050066. 5050066. -2.22e-5 1
## 2 2 <kmeans> 5050066. 5002611. 4.75e+4 1
## 3 3 <kmeans> 5050066. 4599933. 4.50e+5 4
## 4 4 <kmeans> 5050066. 4525683. 5.24e+5 4
## 5 5 <kmeans> 5050066. 4497399. 5.53e+5 4
## 6 6 <kmeans> 5050066. 4397761. 6.52e+5 5
## 7 7 <kmeans> 5050066. 4321297. 7.29e+5 4
## 8 8 <kmeans> 5050066. 4312093. 7.38e+5 4
## 9 9 <kmeans> 5050066. 4302771. 7.47e+5 6
## 10 10 <kmeans> 5050066. 4215190. 8.35e+5 5# Plot Total within-cluster sum of squares (tot.withinss)
kclusts %>%
ggplot(mapping = aes(x = k, y = tot.withinss)) +
geom_line(size = 1.2, alpha = 0.5, color = "darkseagreen") +
geom_point(size = 2, color = "darkseagreen")+
theme_minimal()+
labs(title = "Total within-cluster sum of squares (tot.withinss)")## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
If we take a look at graph above, we can notice how the total
within-cluster sum of squares decreases as the number of clusters
increase. Considering the elbow method, which is the point where WCSS
decreases much slower after adding another cluster, the number of
clusters suggested is 7 (it appears that there is a bit of an elbow or
“bend” at that point). A smaller WithinSS (or SSW) means there is less
variance in that cluster’s data.
Analysis of cluster centers
set.seed(503)
# Fit and predict clusters with k = 3
final_kmeans <- kmeans(income_features, centers = 7, nstart = 100, iter.max = 1000)## Warning: Quick-TRANSfer stage steps exceeded maximum (= 2261100)final_kmeans## K-means clustering with 7 clusters of sizes 9215, 1477, 8481, 2048, 5784, 6832, 11385
##
## Cluster means:
## husbands low_ed_male_laborer l_capital_gain l_capital_loss age
## 1 -2.7297445 -0.2759099 -0.198069706 -0.119988857 -0.23157356
## 2 -0.6380062 4.2241956 -0.165536052 -0.107056924 -0.10619941
## 3 -1.0888871 0.9964358 -0.163410594 -0.087346410 -0.58354726
## 4 -0.5326338 -1.4560798 0.146150992 0.072624708 0.10967102
## 5 -0.8974086 -2.3127304 0.080449663 0.050697529 0.05030215
## 6 2.7423707 -1.3573604 0.402081043 0.240559416 0.45216429
## 7 2.0094291 1.1844507 -0.004924149 -0.007102903 0.31929125
## fnlwgt education_num hours_per_week workclass_federal_gov
## 1 -0.01332680 -0.3260648 -0.4788903 -0.037829069
## 2 0.63117287 -1.9232894 -0.1255393 -0.159627228
## 3 0.06999104 -0.3913752 -0.1691089 -0.084702680
## 4 -0.08759274 0.2108513 -0.2880302 -0.007523982
## 5 -0.06136248 1.0436116 0.1416459 0.151577484
## 6 -0.05390728 1.1317791 0.4471669 0.134580614
## 7 -0.04395475 -0.4423143 0.2413852 -0.041988765
## workclass_local_gov workclass_private workclass_self_emp_inc
## 1 -0.08404144 0.28598820 -0.17001422
## 2 -0.19626061 0.41059735 -0.14735394
## 3 -0.14296209 0.26861172 -0.12005897
## 4 0.15769330 -0.10463070 -0.03531089
## 5 0.32328507 -0.37992404 0.02074598
## 6 0.16952255 -0.53159418 0.54109066
## 7 -0.09435525 0.04599792 -0.08272872
## workclass_self_emp_not_inc workclass_state_gov workclass_without_pay
## 1 -0.2111338665 -0.03718753 -0.01148029
## 2 -0.1317983346 -0.19203433 -0.02155415
## 3 -0.0850016092 -0.10746588 0.01675586
## 4 0.0195238546 0.03818573 0.04643704
## 5 0.0003009409 0.27527159 -0.02155415
## 6 0.1269504799 0.15652025 -0.01476034
## 7 0.1714635215 -0.10557625 0.01106092
## education_1st_4th education_5th_6th education_7th_8th education_9th
## 1 -0.06402641 -0.09357358 -0.01599685 -0.006930832
## 2 2.04149225 2.78836734 0.40580600 0.451490424
## 3 -0.07023692 -0.10014062 -0.01706540 0.036167590
## 4 -0.07023692 -0.10014062 -0.05578506 -0.006496357
## 5 -0.07023692 -0.10014062 -0.13614714 -0.123186805
## 6 -0.07023692 -0.10014062 -0.13614714 -0.123186805
## 7 -0.07023692 -0.08242278 0.13391720 0.057769714
## education_10th education_11th education_12th education_assoc_acdm
## 1 0.06207240 0.105187277 0.036184036 -0.006702235
## 2 0.07535966 0.004087475 0.109515504 -0.166806888
## 3 0.09641115 0.179198932 0.117441342 -0.054279697
## 4 -0.06437647 -0.105964954 -0.048425577 0.083658239
## 5 -0.16565392 -0.191760019 -0.109062011 0.149547676
## 6 -0.16491509 -0.191114961 -0.109770898 0.075292969
## 7 0.06286507 0.012009616 -0.000989485 -0.068707634
## education_assoc_voc education_bachelors education_doctorate education_hs_grad
## 1 -0.001700628 -0.35071618 -0.108352936 0.19516671
## 2 -0.159579495 -0.39397735 -0.110343762 -0.35048421
## 3 -0.032662780 -0.35552841 -0.109262199 0.26558380
## 4 0.034253947 0.09700945 -0.002850822 -0.01716268
## 5 0.025850908 0.95342051 0.160841747 -0.62980551
## 6 -0.055333067 0.86581003 0.354200279 -0.64134340
## 7 0.060320160 -0.42156198 -0.110343762 0.39757489
## education_masters education_preschool education_prof_school
## 1 -0.2321989 -0.03721127 -0.131248225
## 2 -0.2307989 1.16573482 -0.132910001
## 3 -0.2385014 -0.03993306 -0.132007203
## 4 0.1111233 -0.03993306 0.001679232
## 5 0.5413438 -0.03993306 0.145079747
## 6 0.5680097 -0.03993306 0.467785946
## 7 -0.2403181 -0.03993306 -0.132910001
## education_some_college marital_status_divorced
## 1 0.26029978 0.4237359
## 2 -0.34762813 -0.2457561
## 3 0.14643227 0.1304589
## 4 -0.03696363 -0.4022052
## 5 -0.31153720 0.5950667
## 6 -0.31521844 -0.3945952
## 7 0.07941126 -0.4014441
## marital_status_married_af_spouse marital_status_married_civ_spouse
## 1 -0.018448501 -0.91163128
## 2 -0.026610254 -0.01585235
## 3 -0.022176192 -0.91376690
## 4 0.322266837 1.05274544
## 5 -0.026610254 -0.92714757
## 6 -0.015601683 1.05990015
## 7 -0.000185816 1.06623754
## marital_status_married_spouse_absent marital_status_never_married
## 1 0.07759594 0.40972990
## 2 0.45608826 0.04230271
## 3 0.04775919 0.86481240
## 4 -0.11116210 -0.69041612
## 5 0.07147842 0.48510266
## 6 -0.10982914 -0.68853779
## 7 -0.10796251 -0.69041612
## marital_status_separated marital_status_widowed occupation_adm_clerical
## 1 0.26681319 0.374567691 0.5964540
## 2 0.13206986 0.005279633 -0.2559369
## 3 0.09316722 -0.087898422 -0.1416838
## 4 -0.17945978 -0.170465271 0.3888486
## 5 0.02737565 0.107153057 -0.1120948
## 6 -0.17440859 -0.165163778 -0.2504275
## 7 -0.17945978 -0.163042094 -0.2067430
## occupation_armed_forces occupation_craft_repair occupation_exec_managerial
## 1 -0.01759752 -0.31711725 -0.19451677
## 2 -0.01759752 0.08845074 -0.32857404
## 3 0.03602117 0.24018832 -0.26176392
## 4 -0.01759752 -0.32862416 0.09510417
## 5 -0.00776998 -0.33842916 0.34625975
## 6 0.01568264 -0.30741735 0.58702042
## 7 -0.01260477 0.48180311 -0.15022113
## occupation_farming_fishing occupation_handlers_cleaners
## 1 -0.15039490 -0.11117038
## 2 0.39445923 0.32632590
## 3 0.09969586 0.37175561
## 4 -0.13728679 -0.15660200
## 5 -0.14604356 -0.20936570
## 6 -0.09180305 -0.19585259
## 7 0.15027052 0.02277991
## occupation_machine_op_inspct occupation_other_service
## 1 -0.00315603 0.44050381
## 2 0.43182742 0.34256639
## 3 0.11423801 0.12978797
## 4 -0.06407017 0.04475994
## 5 -0.25046782 -0.27480477
## 6 -0.24208035 -0.31404983
## 7 0.14547525 -0.17765077
## occupation_priv_house_serv occupation_prof_specialty
## 1 0.14388358 -0.3050936
## 2 0.51575325 -0.3634910
## 3 -0.05860598 -0.3379195
## 4 0.01020580 0.2688844
## 5 -0.05970940 0.8713049
## 6 -0.06976060 0.6237046
## 7 -0.06935049 -0.3194768
## occupation_protective_serv occupation_sales occupation_tech_support
## 1 -0.094005054 0.11537995 0.02404528
## 2 -0.115905631 -0.18284663 -0.14122811
## 3 0.011326791 -0.04405052 -0.04753537
## 4 -0.114918301 -0.08414215 0.02153444
## 5 0.008527286 -0.05791534 0.11636294
## 6 0.151639688 0.05817950 -0.01555116
## 7 0.008029442 -0.02720652 -0.01938833
## occupation_transport_moving relationship_husband relationship_not_in_family
## 1 -0.1880240 -0.83837728 0.1928860
## 2 0.0103104 -0.03527593 -0.1116144
## 3 0.1335390 -0.83813779 0.4381345
## 4 -0.1835986 -0.83837728 -0.5908446
## 5 -0.1970361 -0.83837728 1.1334730
## 6 -0.1984660 1.17342976 -0.5838262
## 7 0.3035973 1.18008735 -0.5872346
## relationship_other_relative relationship_own_child relationship_unmarried
## 1 0.13211372 0.3813776 0.70586148
## 2 0.66040658 -0.1577830 0.08717944
## 3 0.19060589 0.7179856 -0.06282825
## 4 -0.17534868 -0.4143332 -0.34411129
## 5 -0.09912792 -0.1801502 0.14025457
## 6 -0.15728061 -0.4097803 -0.33840271
## 7 -0.15831058 -0.4111043 -0.34211299
## relationship_wife race_amer_indian_eskimo race_asian_pac_islander race_black
## 1 -0.22017979 0.038200500 -0.015903516 0.30508023
## 2 -0.08154854 -0.001439862 0.005838621 -0.14905090
## 3 -0.22017979 0.033123502 -0.011536019 0.08913338
## 4 4.54164250 0.021510381 0.049592212 0.01261872
## 5 -0.22017979 -0.033012942 0.032393818 -0.11091717
## 6 -0.22017979 -0.070059167 0.092876433 -0.22210030
## 7 -0.22017979 -0.000463200 -0.060403887 -0.10663288
## race_other race_white sex_female sex_male native_country_cambodia
## 1 -0.006081141 -0.25770598 1.4292453 -1.4292453 -0.019457541
## 2 0.796014593 -0.07931044 -0.1734024 0.1734024 0.032503641
## 3 -0.001610612 -0.07819326 -0.6890225 0.6890225 0.020284844
## 4 -0.022118326 -0.03496430 1.4402511 -1.4402511 -0.023984566
## 5 -0.039584123 0.09684642 0.4520014 -0.4520014 -0.002347356
## 6 -0.058760033 0.17631898 -0.6934933 0.6934933 -0.023984566
## 7 -0.037796644 0.12840536 -0.6936183 0.6936183 0.016321270
## native_country_canada native_country_china native_country_columbia
## 1 -0.014875386 -0.030487492 0.018596382
## 2 -0.048847383 0.044877567 0.036948750
## 3 -0.010957480 -0.021709301 0.012808626
## 4 0.053921774 0.037971227 -0.008189861
## 5 0.023517538 0.005357299 -0.026365701
## 6 0.015568837 0.073083461 -0.021978353
## 7 -0.004450494 -0.018382367 -0.001329888
## native_country_cuba native_country_dominican_republic native_country_ecuador
## 1 0.0038040273 -0.02759825 0.011399735
## 2 0.1082241867 1.12437562 0.078982348
## 3 -0.0260046335 -0.04636310 -0.004071481
## 4 -0.0002097586 -0.01470085 -0.015008333
## 5 -0.0032278401 -0.03515212 -0.030850423
## 6 -0.0110637415 -0.04003559 -0.011854755
## 7 0.0105692540 -0.04446457 0.009046319
## native_country_el_salvador native_country_england native_country_france
## 1 -0.05329368 -0.004763749 -0.008987397
## 2 1.54862041 -0.024933558 -0.028225686
## 3 -0.05710656 -0.007635263 -0.019864368
## 4 -0.04852851 0.034414226 -0.010913105
## 5 -0.05103193 0.026254207 0.051464866
## 6 -0.04167813 0.037204333 0.034050951
## 7 -0.05556349 -0.029076433 -0.018882823
## native_country_germany native_country_greece native_country_guatemala
## 1 0.01110644 -0.016442371 -0.04115906
## 2 -0.06546779 -0.012355577 1.24617814
## 3 -0.02386707 -0.007847144 -0.04364986
## 4 0.01692380 -0.003251724 -0.04364986
## 5 0.01939979 -0.011914392 -0.03571324
## 6 0.01985320 0.020452950 -0.04364986
## 7 -0.00753085 0.015121219 -0.04364986
## native_country_haiti native_country_holand_netherlands
## 1 0.010953292 0.01837455
## 2 0.117022052 -0.00470246
## 3 0.018305298 -0.00470246
## 4 -0.001561846 -0.00470246
## 5 -0.034661529 -0.00470246
## 6 -0.031591004 -0.00470246
## 7 -0.000835547 -0.00470246
## native_country_honduras native_country_hong native_country_hungary
## 1 0.01656535 -0.007440721 -0.009073947
## 2 0.11164742 0.029544091 -0.019954600
## 3 0.01401980 -0.010670507 -0.019954600
## 4 0.00332456 0.073253908 0.004524212
## 5 -0.02050163 -0.010990113 0.049385104
## 6 -0.01335935 0.028066102 -0.012616689
## 7 -0.02050163 -0.014297638 0.006465746
## native_country_india native_country_iran native_country_ireland
## 1 -0.03804216 -0.022868719 -0.001292082
## 2 -0.04521229 -0.035211408 -0.028225686
## 3 -0.01360642 -0.008389600 0.017761559
## 4 -0.03137242 0.006440647 -0.028225686
## 5 0.02490100 0.018865211 0.002424527
## 6 0.13317745 0.060513534 -0.012656526
## 7 -0.04013280 -0.017728643 0.002917191
## native_country_italy native_country_jamaica native_country_japan
## 1 -0.021663616 0.068318450 0.007013230
## 2 0.183540289 -0.019373586 -0.029129701
## 3 -0.024484599 -0.005730369 -0.009820242
## 4 0.004898403 -0.017050416 0.021697307
## 5 -0.024992362 -0.033271648 -0.017099234
## 6 0.002780470 -0.029356111 0.061276815
## 7 0.022110041 -0.010928156 -0.026569537
## native_country_laos native_country_mexico native_country_nicaragua
## 1 -0.006443355 -0.1342064 0.020725246
## 2 0.135572848 4.0485100 0.112948566
## 3 -0.005135570 -0.1427395 0.003613831
## 4 0.023773309 -0.1322683 0.012388835
## 5 -0.021554146 -0.1316165 -0.021977588
## 6 -0.014760336 -0.1280912 -0.023606491
## 7 0.006984036 -0.1427395 -0.011017259
## native_country_outlying_us.guam_usvi_etc. native_country_peru
## 1 -0.0023769043 0.0200664672
## 2 -0.0220616160 -0.0100870832
## 3 0.0153680010 0.0058362525
## 4 0.0000812817 0.0148987369
## 5 0.0249805567 -0.0205935736
## 6 -0.0220616160 -0.0176335526
## 7 -0.0061288432 -0.0009168276
## native_country_philippines native_country_poland native_country_portugal
## 1 -0.0050469470 -0.014129410 -0.02532116
## 2 0.0580106465 -0.026347966 0.14592275
## 3 0.0043745421 0.010621771 0.01074652
## 4 0.0630537192 0.003830261 0.01573178
## 5 -0.0004305018 0.002616419 -0.03237977
## 6 0.0153036563 -0.025051940 -0.03309650
## 7 -0.0270068665 0.019957165 0.02703965
## native_country_puerto_rico native_country_scotland native_country_south
## 1 0.021567819 -0.0003894171 0.005560725
## 2 0.133956324 0.0111666352 -0.047311479
## 3 0.025030492 -0.0042106123 -0.007347582
## 4 0.047773229 0.0254118463 0.035436034
## 5 -0.048404666 0.0036341176 -0.003362592
## 6 -0.048182940 -0.0001499383 0.020901928
## 7 -0.008569669 -0.0043243968 -0.010098719
## native_country_taiwan native_country_thailand native_country_trinadad.tobago
## 1 -0.01932740 0.004674978 0.021285690
## 2 -0.03489522 0.001412851 0.004259537
## 3 -0.02474613 -0.006700918 -0.019065743
## 4 0.02114283 0.013244033 0.037123648
## 5 0.02959117 0.001986205 -0.016772163
## 6 0.08269283 0.003577598 -0.011772464
## 7 -0.02985499 -0.004513865 0.005328769
## native_country_united_states native_country_vietnam native_country_yugoslavia
## 1 0.09238820 0.0002202758 -0.0033054533
## 2 -2.82319400 0.0520271920 0.0074709787
## 3 0.11344850 0.0259885147 -0.0016392412
## 4 0.01729990 -0.0314725956 -0.0009012734
## 5 0.10719426 -0.0226840523 -0.0225576941
## 6 0.04038956 -0.0326213854 -0.0030821307
## 7 0.12516120 0.0104740572 0.0163991348
##
## Clustering vector:
## [1] 3 7 6 7 3 6 1 7 7 6 1 7 6 3 4 1 6 1 5 6 7 3 3 7 5 6 1 5 7 1 6 2 3 3 6 6
## [37] 7 7 3 4 2 7 1 5 3 3 1 3 2 1 7 6 6 7 5 3 5 1 1 6 3 3 7 6 7 2 1 2 7 7 7 1
## [73] 7 5 3 7 1 1 7 3 5 3 4 5 5 3 5 7 7 1 1 3 1 1 1 7 3 3 1 1 7 7 7 3 7 1 1 5
## [109] 5 1 3 1 1 1 4 3 7 6 7 1 6 7 5 7 7 4 7 6 1 7 6 5 1 1 7 6 3 3 4 7 3 6 1 3
## [145] 5 1 5 7 7 7 3 6 7 6 7 3 5 7 5 5 7 5 7 7 7 7 7 5 6 5 1 3 3 1 6 5 1 1 1 3
## [181] 4 1 7 6 6 5 5 6 6 7 7 4 7 3 1 5 6 1 7 3 2 3 5 6 1 3 7 7 7 6 7 3 6 5 7 7
## [217] 1 7 1 1 7 1 7 1 7 1 7 1 7 7 3 3 6 3 3 5 1 3 5 4 5 5 1 5 7 7 4 7 7 4 5 1
## [253] 3 3 6 3 7 7 1 1 6 1 3 7 7 3 7 7 7 1 7 3 2 3 5 7 7 3 1 1 3 1 3 6 7 6 3 7
## [289] 5 4 3 1 6 7 3 6 7 2 3 6 5 3 7 3 7 1 6 1 2 1 7 5 7 5 2 6 7 5 1 7 1 3 3 1
## [325] 4 7 6 5 6 5 1 7 3 3 5 7 6 7 7 4 1 7 2 7 6 3 7 4 1 3 7 5 4 1 7 7 1 1 4 7
## [361] 5 3 5 1 3 6 6 6 5 1 1 7 3 1 3 1 4 1 4 3 2 7 7 3 6 5 1 3 5 1 3 1 1 1 7 3
## [397] 4 1 6 6 7 6 7 6 1 7 1 6 7 5 3 3 7 7 6 3 5 3 3 6 1 7 4 7 6 7 7 3 6 7 7 3
## [433] 3 5 3 5 2 3 4 1 4 3 3 5 1 3 3 3 5 7 3 3 7 7 7 7 3 3 2 5 7 2 7 1 7 1 6 1
## [469] 7 3 1 3 1 3 1 6 2 5 7 6 3 6 1 6 7 5 6 5 5 1 7 7 4 3 7 7 3 7 6 5 1 6 6 6
## [505] 7 7 7 3 3 6 3 7 6 6 6 6 1 1 1 6 3 3 7 5 6 1 6 5 7 1 6 4 7 7 6 7 7 4 5 1
## [541] 3 3 7 6 1 3 2 7 1 1 6 1 1 6 6 3 4 3 5 6 1 1 7 3 5 7 6 3 7 2 3 7 2 6 7 1
## [577] 3 3 7 6 6 7 7 3 1 5 1 3 6 2 5 2 4 6 3 1 1 1 7 1 4 7 6 1 6 3 3 4 7 3 1 7
## [613] 1 3 6 1 1 1 6 1 1 3 2 1 6 5 3 7 7 7 3 6 1 7 7 2 6 7 1 1 3 6 6 3 6 5 1 1
## [649] 4 3 6 6 7 5 7 3 7 3 7 6 6 5 6 5 7 1 5 6 1 5 7 7 6 3 3 7 6 7 3 1 4 7 7 7
## [685] 5 1 7 5 4 7 4 6 3 1 5 7 5 5 7 5 5 4 5 3 1 1 1 6 1 1 3 1 7 6 6 3 5 2 1 7
## [721] 7 7 6 7 7 5 3 1 1 3 7 7 6 5 7 1 6 3 5 7 7 7 5 7 6 1 7 5 3 3 7 7 6 1 2 5
## [757] 5 1 3 5 7 1 1 1 7 6 4 3 7 5 7 3 7 7 7 7 7 3 3 1 1 6 6 6 3 5 6 3 7 3 6 7
## [793] 5 6 7 1 7 1 7 5 5 6 7 6 3 4 3 7 3 7 5 3 6 6 5 6 1 7 6 7 7 5 6 2 5 7 1 7
## [829] 3 5 7 3 6 7 7 1 3 3 6 6 7 7 7 3 1 7 6 3 7 7 3 6 6 6 7 3 7 3 7 7 1 6 7 7
## [865] 6 1 6 1 3 7 7 1 6 3 6 7 3 3 5 3 1 4 3 7 1 7 7 4 7 2 2 3 6 3 1 7 4 1 3 6
## [901] 7 7 7 5 5 7 3 6 6 5 7 6 3 7 5 1 3 4 6 6 6 1 1 1 3 6 5 4 3 7 7 5 3 3 6 3
## [937] 2 6 6 7 7 4 1 7 5 3 6 1 4 5 1 7 7 7 1 3 7 1 5 6 5 1 1 6 7 5 5 4 7 6 3 7
## [973] 6 3 6 3 2 5 2 1 3 1 7 1 6 6 2 3 2 1 6 6 1 7 6 1 3 3 7 4 3 1 6 7 1 6 6 7
## [1009] 3 7 2 3 7 6 5 3 1 6 7 2 1 7 1 3 5 7 6 7 6 7 1 7 3 5 7 7 6 6 7 7 7 3 1 5
## [1045] 6 7 2 1 3 7 5 3 1 6 7 5 3 1 1 3 7 1 1 7 7 4 6 5 6 6 3 5 7 3 1 1 5 7 6 3
## [1081] 5 7 1 1 1 1 3 5 5 5 4 5 1 2 7 7 3 6 1 3 3 5 3 7 5 5 1 1 6 3 7 7 5 1 3 3
## [1117] 6 5 3 6 5 7 7 7 1 3 7 6 3 1 3 6 6 7 7 1 7 3 6 3 2 5 7 7 6 5 1 1 3 6 1 5
## [1153] 3 6 4 1 7 4 3 5 7 6 7 5 7 1 3 4 1 7 3 7 3 1 6 3 3 7 7 5 2 5 7 2 1 1 7 1
## [1189] 7 6 7 1 7 5 4 1 6 7 1 1 3 5 1 1 5 3 7 1 1 5 7 3 7 5 5 3 5 3 6 7 7 1 6 1
## [1225] 5 7 3 6 7 6 7 3 7 5 6 3 7 4 6 7 5 5 6 7 5 5 3 3 7 7 3 6 2 3 7 5 4 6 7 6
## [1261] 3 3 1 7 7 7 3 7 1 4 6 6 6 6 7 3 3 7 1 7 5 7 6 2 3 2 5 1 1 5 1 7 5 7 6 7
## [1297] 3 2 6 5 4 3 4 7 6 7 1 1 6 3 6 5 1 3 5 4 5 6 6 5 5 3 5 1 3 1 4 6 3 7 5 5
## [1333] 7 1 7 5 3 6 5 3 7 1 5 1 5 7 7 6 7 1 1 1 6 7 7 7 5 7 3 6 3 1 7 1 6 6 6 6
## [1369] 1 3 7 5 6 6 1 2 7 3 1 7 3 1 6 6 2 5 1 1 5 3 7 6 6 7 7 1 7 7 7 5 7 6 7 6
## [1405] 1 7 7 7 1 2 6 1 1 2 3 6 2 1 4 7 1 6 1 5 1 5 3 1 5 3 1 1 1 1 6 1 3 1 7 6
## [1441] 6 6 7 5 1 7 1 6 7 5 3 3 3 5 5 1 3 1 7 2 7 7 5 1 7 1 2 1 5 5 5 1 6 3 6 4
## [1477] 7 3 1 5 6 3 7 1 1 3 5 5 3 7 7 3 5 3 1 3 6 7 6 7 2 7 7 6 1 6 7 1 7 1 5 3
## [1513] 3 1 7 3 1 3 1 3 1 7 6 7 3 1 7 7 7 7 2 1 1 7 1 7 1 6 5 2 3 1 6 3 7 3 7 6
## [1549] 3 7 7 7 3 4 3 1 5 1 1 6 1 3 7 1 1 7 4 1 7 6 6 2 5 5 6 6 3 6 7 5 5 5 6 7
## [1585] 1 6 3 1 7 6 7 2 3 7 2 6 7 6 7 3 5 5 7 4 7 1 1 7 7 3 3 5 7 6 5 7 3 3 7 1
## [1621] 3 7 3 5 6 6 4 6 3 7 5 6 3 4 1 6 7 1 4 1 1 3 3 1 7 7 5 7 5 4 3 3 1 3 7 7
## [1657] 4 1 1 7 1 5 1 4 3 5 6 6 3 3 5 5 4 1 1 1 5 7 2 1 6 1 7 7 7 4 1 1 5 6 3 4
## [1693] 3 3 1 6 5 6 7 6 3 5 1 5 5 3 5 5 2 1 3 3 2 7 5 5 5 6 1 1 1 1 1 6 5 3 3 3
## [1729] 1 3 7 7 3 6 3 1 7 1 7 6 1 4 2 1 6 3 2 3 1 5 3 3 6 1 3 7 1 7 6 1 7 3 1 4
## [1765] 6 1 4 3 7 6 3 1 6 7 1 7 3 7 7 4 4 3 5 1 5 7 1 6 7 1 7 6 1 1 1 7 7 2 7 5
## [1801] 7 5 1 1 7 5 7 3 3 1 1 4 3 1 6 6 6 6 3 5 7 1 3 6 6 4 5 7 6 3 6 3 3 7 5 2
## [1837] 3 5 6 7 5 6 3 2 1 1 1 1 7 6 1 6 6 2 1 3 1 3 7 6 5 5 3 1 7 6 7 7 1 1 7 3
## [1873] 4 4 5 3 1 6 7 2 3 3 4 5 5 6 6 3 5 3 5 1 3 7 7 1 6 1 5 3 1 3 4 5 1 3 1 1
## [1909] 1 1 6 5 2 7 1 7 6 1 5 3 4 6 1 4 5 3 7 6 7 1 1 3 1 2 3 4 7 6 3 7 3 1 7 1
## [1945] 7 3 3 1 5 6 3 1 1 1 1 6 1 6 3 1 1 1 6 6 1 7 6 6 3 7 1 2 7 7 7 7 1 6 1 1
## [1981] 1 7 1 6 7 1 6 1 7 1 5 7 6 4 3 5 7 5 6 6 6 5 7 6 1 3 3 1 3 3 3 7 7 3 6 7
## [2017] 7 7 1 5 6 3 5 5 3 7 6 1 6 5 3 2 5 2 1 1 7 1 7 3 5 1 3 7 1 7 6 5 7 5 6 6
## [2053] 6 6 1 7 3 2 1 3 7 6 1 3 3 3 5 6 6 3 3 4 6 6 5 6 3 7 1 7 1 7 3 7 1 5 5 6
## [2089] 1 3 3 3 7 6 7 3 6 5 7 5 7 6 3 1 6 7 7 1 1 5 6 7 1 1 3 5 6 1 6 7 1 1 6 7
## [2125] 6 1 7 6 6 6 7 7 3 7 6 3 1 4 1 6 6 1 1 6 3 5 7 1 7 1 7 6 7 1 3 6 3 7 7 3
## [2161] 3 5 6 1 6 1 6 7 1 5 3 6 5 7 3 7 1 6 1 6 3 3 5 1 1 7 1 7 2 5 7 7 5 1 5 5
## [2197] 7 7 1 1 3 3 1 5 5 3 6 3 3 7 6 3 7 5 6 4 7 1 2 7 2 7 3 7 7 1 7 3 6 7 1 3
## [2233] 6 1 1 5 1 5 5 6 6 7 1 5 6 5 3 1 4 1 6 3 1 6 6 1 6 5 1 3 6 3 7 7 7 1 1 7
## [2269] 6 5 1 1 7 3 6 1 1 1 7 2 5 7 3 6 7 4 7 3 6 7 5 7 5 6 3 3 7 7 3 3 5 5 3 6
## [2305] 1 1 6 7 5 5 5 1 3 3 5 5 5 6 2 7 4 1 7 5 7 1 6 1 6 1 3 6 6 1 3 3 6 7 1 3
## [2341] 7 1 3 1 7 7 3 6 5 6 1 5 7 1 4 7 5 3 3 3 7 5 5 1 6 3 6 7 3 3 3 3 6 6 3 6
## [2377] 4 7 1 3 7 6 1 7 7 7 1 1 1 1 7 6 4 7 7 5 7 7 5 7 1 5 7 1 6 7 1 3 1 1 1 3
## [2413] 6 7 3 7 5 5 4 1 1 3 6 7 3 4 7 7 3 4 7 3 3 5 7 7 5 7 7 7 3 5 7 5 6 6 7 1
## [2449] 3 5 3 7 7 6 7 6 2 4 7 6 6 7 3 6 1 5 7 7 1 7 4 7 7 3 3 3 5 1 5 3 6 7 1 1
## [2485] 6 5 4 7 5 7 7 4 3 7 7 1 6 2 1 7 1 5 7 3 7 6 7 3 6 7 1 6 1 1 1 5 6 5 2 6
## [2521] 1 1 3 6 3 7 5 1 5 5 3 4 1 1 6 1 7 7 2 1 1 3 1 1 7 1 3 3 5 2 1 3 6 5 4 3
## [2557] 7 3 1 3 6 1 5 7 6 5 6 5 1 2 3 3 3 7 5 4 5 7 7 7 7 3 1 6 7 1 5 1 7 6 1 1
## [2593] 7 1 1 7 7 5 6 7 3 3 7 1 3 7 7 3 6 5 3 5 3 7 1 1 3 5 7 4 7 7 7 2 3 1 7 7
## [2629] 7 5 6 3 2 7 3 3 1 7 5 7 7 7 5 3 3 1 3 1 5 7 5 7 5 3 4 7 3 7 1 6 7 1 7 2
## [2665] 3 1 3 7 6 1 4 3 7 1 1 7 1 7 3 5 6 7 5 4 5 2 1 7 5 7 5 3 5 6 7 5 3 1 6 5
## [2701] 3 3 5 1 1 6 4 1 7 7 1 7 5 7 3 3 5 3 5 5 6 6 5 7 1 7 5 6 1 6 7 1 3 3 1 5
## [2737] 1 5 7 7 7 7 1 6 2 2 6 3 2 7 7 1 5 2 5 3 2 2 4 7 1 6 5 4 7 7 7 3 3 3 5 7
## [2773] 3 3 6 1 3 1 1 7 7 3 3 1 1 7 7 1 4 7 3 3 6 1 4 5 1 6 5 7 7 3 7 7 3 3 3 2
## [2809] 5 6 1 1 1 1 6 1 6 6 3 3 4 7 4 3 6 6 5 3 3 6 7 5 7 1 1 1 1 3 5 1 1 1 7 7
## [2845] 6 2 1 4 5 7 3 7 1 7 3 3 1 2 7 7 1 6 1 6 7 7 2 7 7 3 3 7 6 6 5 4 1 7 6 6
## [2881] 2 7 3 1 1 1 7 7 1 1 1 7 4 7 1 6 3 7 5 1 5 1 7 7 2 1 2 6 7 1 3 7 3 1 6 3
## [2917] 1 1 5 6 3 5 7 7 3 3 3 7 7 7 4 1 6 7 2 5 7 4 1 5 3 3 5 1 7 1 7 3 5 5 6 1
## [2953] 3 5 3 1 7 3 1 5 3 5 5 7 3 3 1 3 1 3 6 3 7 4 1 3 6 3 7 6 6 5 7 7 1 3 3 2
## [2989] 7 7 4 5 5 6 3 7 3 6 7 3 1 1 3 7 6 2 3 3 7 5 7 5 5 7 6 3 3 5 5 6 7 5 1 4
## [3025] 3 3 7 3 5 3 3 1 2 6 7 7 1 7 1 4 6 1 5 5 7 1 4 5 7 3 1 7 7 7 6 3 7 3 4 7
## [3061] 5 5 1 3 5 1 6 5 1 6 7 7 7 3 7 6 5 7 5 7 1 5 7 3 1 3 7 7 7 1 5 6 1 7 7 2
## [3097] 7 6 7 1 5 3 1 3 1 5 6 3 3 3 6 7 5 6 3 3 5 7 3 3 5 3 1 6 6 6 3 7 4 1 7 1
## [3133] 1 3 1 7 6 7 7 5 7 7 1 7 3 1 1 3 6 1 1 5 7 1 2 1 5 3 3 3 5 2 3 1 3 7 7 3
## [3169] 6 1 3 6 7 7 1 3 5 7 6 3 7 3 6 5 5 6 7 5 1 6 3 1 7 6 1 5 1 3 5 5 6 3 6 7
## [3205] 1 1 5 7 7 5 6 7 7 1 7 7 7 3 4 3 1 1 3 5 1 7 3 5 5 3 6 7 7 7 6 2 7 3 3 1
## [3241] 7 7 4 6 3 7 7 6 7 3 1 1 7 3 7 6 6 1 6 5 7 1 1 1 5 7 3 2 7 7 6 4 5 7 1 7
## [3277] 5 3 1 3 1 6 7 5 3 4 3 1 7 3 6 7 7 1 1 7 3 7 6 7 5 7 1 1 2 6 7 1 5 3 6 1
## [3313] 7 3 7 7 1 7 7 3 1 7 7 1 1 6 3 7 3 7 2 3 7 5 7 7 1 6 3 1 6 7 7 4 3 7 4 2
## [3349] 4 1 7 6 1 1 7 3 7 5 7 3 7 3 1 1 7 4 1 5 1 1 3 6 1 3 7 5 6 4 3 5 1 7 3 6
## [3385] 1 5 3 5 1 7 6 5 3 7 7 7 3 4 1 1 1 3 1 1 3 1 3 1 2 3 1 6 5 1 7 3 6 6 7 3
## [3421] 1 1 6 4 7 1 1 1 1 1 3 1 3 6 1 3 5 5 3 3 7 5 7 7 3 7 7 6 5 3 2 1 2 5 7 6
## [3457] 7 1 7 4 5 6 3 6 7 1 1 5 7 3 1 3 1 6 1 5 5 3 1 6 5 5 6 6 7 7 5 5 5 6 6 3
## [3493] 5 3 3 7 1 4 7 1 1 5 6 6 5 1 5 7 1 3 1 1 7 3 7 3 7 2 7 7 1 7 1 1 3 6 3 7
## [3529] 5 6 3 7 6 3 5 3 7 6 1 5 7 1 3 1 1 6 1 3 6 1 7 7 1 5 1 6 3 1 7 3 7 3 3 7
## [3565] 3 1 1 7 1 6 2 1 6 1 7 3 7 1 6 6 7 1 1 1 5 4 1 1 6 7 7 6 3 3 4 6 3 3 1 7
## [3601] 1 1 6 5 7 1 3 3 3 7 5 7 6 1 1 3 7 7 1 5 3 6 6 2 7 1 3 1 3 1 3 1 5 1 1 5
## [3637] 6 6 7 7 6 3 7 3 3 7 4 7 7 6 3 7 3 6 3 5 7 7 5 5 5 1 7 3 3 4 7 1 7 3 2 3
## [3673] 1 7 5 6 6 7 7 6 5 7 3 3 6 2 7 6 6 5 7 5 7 7 5 5 6 1 6 5 7 1 7 1 4 5 5 6
## [3709] 6 7 3 3 6 1 3 6 1 1 7 7 3 5 7 6 5 7 7 5 4 7 7 3 1 3 6 6 7 7 2 1 3 7 7 1
## [3745] 5 7 6 1 7 7 7 1 7 4 3 3 7 1 7 2 7 1 3 5 7 7 3 6 6 7 6 3 7 7 6 1 5 3 1 1
## [3781] 7 7 5 2 3 3 6 5 1 7 6 6 3 7 7 3 3 4 1 6 5 1 1 7 3 6 1 1 1 1 3 4 3 1 5 2
## [3817] 3 3 7 7 7 7 1 6 3 1 5 6 1 6 3 7 1 7 3 2 5 4 1 1 3 7 1 7 7 3 3 6 7 1 5 7
## [3853] 5 5 3 6 6 6 1 6 5 5 6 7 3 3 7 1 7 6 5 1 5 3 3 3 3 1 3 7 4 3 7 1 3 1 6 5
## [3889] 1 1 3 1 7 2 5 5 6 1 1 6 1 7 6 3 6 6 5 5 3 1 7 3 7 1 1 1 5 7 5 3 6 6 1 3
## [3925] 5 7 7 7 1 3 1 1 1 1 4 5 4 6 7 3 7 3 7 6 1 7 3 4 2 7 2 4 7 1 7 5 6 1 7 3
## [3961] 7 7 6 7 6 7 1 6 5 6 3 7 1 7 7 1 3 1 5 7 1 6 5 1 1 5 6 1 7 7 5 3 3 6 6 7
## [3997] 4 3 7 1 6 7 3 7 3 3 1 1 4 4 1 3 3 5 1 5 7 3 6 3 6 7 1 1 7 7 5 3 2 7 7 1
## [4033] 3 1 5 4 7 6 1 3 1 3 3 1 1 1 3 7 6 1 1 3 3 6 1 6 6 2 6 1 3 4 7 1 4 1 7 1
## [4069] 4 5 1 1 7 5 3 3 1 3 5 5 7 5 4 5 2 6 4 3 5 5 3 4 5 7 3 7 6 6 7 4 3 2 7 7
## [4105] 3 6 1 3 5 3 3 1 6 7 5 6 1 1 1 2 5 1 6 6 3 5 5 2 7 7 7 3 6 1 3 4 7 2 6 6
## [4141] 5 3 3 7 3 6 1 1 1 1 6 3 6 1 6 3 3 5 1 4 3 3 4 7 7 3 7 5 7 6 1 7 1 3 5 6
## [4177] 3 7 2 1 1 3 3 6 3 7 1 6 4 5 7 7 1 7 5 5 1 7 7 5 5 7 2 1 5 3 3 7 7 7 5 6
## [4213] 7 1 3 7 7 3 5 5 5 5 1 1 7 1 6 6 7 1 1 1 6 3 1 5 1 7 1 5 7 5 5 6 1 5 1 1
## [4249] 1 3 1 6 3 1 6 1 7 7 7 5 1 1 1 2 7 2 6 4 7 7 1 3 3 3 1 6 7 6 5 5 1 3 2 1
## [4285] 7 7 3 6 3 7 2 6 5 7 7 5 1 3 6 1 1 1 3 1 3 6 2 5 5 2 1 3 6 1 6 5 3 1 7 1
## [4321] 3 3 7 6 7 4 3 6 3 3 3 7 6 1 1 3 7 1 5 4 1 7 5 7 7 7 5 5 1 4 5 3 3 6 3 2
## [4357] 1 3 7 3 6 1 7 7 5 6 5 6 3 5 7 3 1 5 3 6 7 3 2 6 3 4 1 1 3 6 5 5 5 5 3 2
## [4393] 2 4 1 1 1 1 3 7 5 4 3 1 3 3 1 5 7 5 3 5 5 3 6 6 2 7 7 7 5 6 6 7 6 5 7 4
## [4429] 5 7 6 1 1 1 1 3 5 5 4 3 1 7 6 7 1 3 7 1 2 7 4 6 5 3 4 1 5 7 3 1 1 7 1 3
## [4465] 4 2 7 1 7 7 1 2 1 5 5 7 7 5 5 3 6 4 6 5 4 6 6 6 4 5 6 7 2 5 1 1 7 1 6 7
## [4501] 1 7 5 3 7 1 7 1 3 7 7 6 6 7 5 3 5 3 1 7 7 6 7 4 1 1 5 7 5 2 1 5 3 7 1 6
## [4537] 3 1 5 1 7 1 4 3 4 6 6 7 3 7 1 6 6 1 1 2 7 7 5 7 7 7 1 4 6 5 7 7 3 5 7 4
## [4573] 7 7 3 3 7 1 1 7 7 1 7 7 3 7 3 1 7 3 3 7 3 4 3 1 3 1 7 6 6 1 1 3 7 5 3 6
## [4609] 7 1 3 3 6 5 1 6 6 1 4 4 1 3 3 6 5 6 7 3 3 6 7 3 7 3 3 5 5 7 1 6 5 7 7 1
## [4645] 5 6 3 7 3 7 5 3 3 7 5 7 6 7 3 3 1 1 3 3 1 4 1 6 6 1 7 7 5 6 1 5 1 7 3 1
## [4681] 7 7 6 7 2 5 7 3 7 2 7 7 5 6 7 1 3 1 7 6 6 3 3 6 5 7 5 7 3 7 3 3 1 1 1 1
## [4717] 3 7 1 7 3 7 6 7 5 3 4 1 2 1 1 6 6 7 5 6 6 6 1 4 6 3 1 7 7 6 7 6 6 6 7 7
## [4753] 3 7 7 5 5 3 1 7 3 1 7 5 7 6 7 1 5 1 2 5 7 3 6 6 2 5 1 3 1 7 7 7 7 1 7 6
## [4789] 7 3 5 3 1 3 1 1 6 5 7 3 1 5 6 3 6 1 7 1 6 1 6 7 4 3 6 7 7 5 7 1 6 5 6 6
## [4825] 6 5 7 3 5 5 7 7 7 6 2 6 7 3 6 3 7 5 6 6 1 6 5 7 1 5 7 3 6 4 7 1 5 1 4 6
## [4861] 6 7 6 1 5 5 3 3 5 1 6 1 3 6 4 4 5 2 7 7 1 7 5 1 1 1 7 4 6 1 7 7 5 1 1 1
## [4897] 3 3 1 3 6 5 1 1 6 3 7 5 6 5 1 7 7 3 5 6 1 1 6 3 1 6 3 1 7 1 3 1 5 3 1 3
## [4933] 1 5 1 6 2 1 7 1 3 2 1 1 2 5 1 7 1 6 3 1 7 7 3 3 6 5 1 7 2 3 7 7 3 4 7 3
## [4969] 7 1 3 5 5 3 3 1 7 4 6 3 1 5 5 1 5 7 7 6 7 4 1 6 1 3 7 1 7 3 7 1 1 1 6 1
## [5005] 5 6 6 6 3 7 7 3 7 6 7 4 1 6 6 7 1 3 5 7 2 5 1 7 7 7 7 6 3 3 1 7 7 3 6 5
## [5041] 5 3 7 3 3 5 7 3 1 6 7 6 7 4 7 6 3 4 5 1 2 3 1 6 5 2 7 3 3 3 6 6 7 6 7 7
## [5077] 5 7 3 7 3 3 6 1 7 1 6 1 3 7 7 3 3 1 1 5 6 5 5 7 7 1 3 3 7 3 6 4 3 1 6 7
## [5113] 7 7 3 4 7 1 5 5 3 4 1 7 1 1 7 1 7 1 3 7 7 5 7 1 3 5 1 5 7 3 1 7 5 1 5 3
## [5149] 1 1 3 7 5 1 6 1 6 7 3 7 7 7 5 4 7 1 7 6 3 1 7 5 6 1 6 3 7 5 4 1 6 3 3 3
## [5185] 7 6 5 7 7 7 7 1 3 5 7 5 7 1 2 2 3 1 5 6 7 3 1 1 1 1 7 7 1 1 7 7 1 4 7 1
## [5221] 1 3 4 3 5 6 6 1 7 7 2 6 3 5 1 1 6 1 3 1 7 3 4 3 3 1 1 1 1 7 1 6 7 5 1 1
## [5257] 4 7 5 6 7 4 6 3 6 1 1 1 1 5 3 5 7 7 6 7 6 1 3 6 5 1 3 5 6 1 6 7 4 2 6 7
## [5293] 4 1 1 6 3 5 7 6 3 6 3 7 7 1 7 1 7 1 5 3 7 5 1 1 7 6 7 7 3 1 3 6 1 5 7 3
## [5329] 5 3 2 5 7 7 2 5 5 2 7 4 1 6 6 3 4 2 2 6 1 6 7 7 7 4 7 1 5 1 3 1 3 6 3 6
## [5365] 5 6 7 7 4 1 5 3 1 5 5 5 1 2 6 7 4 3 1 7 1 6 2 5 1 4 3 3 1 7 5 7 7 1 7 5
## [5401] 7 6 1 7 7 3 1 6 2 7 7 1 6 7 1 5 4 3 3 1 7 6 7 3 1 1 5 5 4 5 1 6 7 5 6 1
## [5437] 7 5 5 5 3 3 4 5 5 6 4 5 7 6 1 4 3 7 1 2 1 1 7 5 7 5 1 7 2 6 3 1 3 1 7 5
## [5473] 7 1 6 6 5 5 5 6 3 7 7 3 6 5 5 3 3 5 7 6 3 3 1 7 6 2 7 6 7 3 1 3 3 1 6 3
## [5509] 5 7 6 3 5 7 1 6 3 7 3 7 3 3 3 7 5 3 3 3 7 1 1 3 7 5 7 3 1 1 7 3 7 5 3 6
## [5545] 3 3 5 6 7 7 1 7 1 7 5 1 1 1 5 3 5 3 4 4 1 3 7 1 7 3 7 6 1 1 3 5 3 3 3 4
## [5581] 6 1 7 5 5 1 2 1 5 5 6 5 6 1 1 5 3 5 7 3 4 7 7 1 3 7 6 1 7 4 7 3 7 3 1 3
## [5617] 5 1 6 7 7 3 7 7 5 6 7 7 3 1 6 3 7 6 3 1 5 5 1 1 6 5 6 7 7 5 1 3 5 6 4 1
## [5653] 7 5 7 6 1 7 6 4 1 1 4 7 5 6 5 3 1 6 7 3 7 3 6 7 1 3 1 7 6 1 3 1 5 1 7 7
## [5689] 7 6 5 6 7 5 1 3 5 5 4 7 1 3 6 7 1 3 6 5 6 7 3 1 1 6 3 3 7 5 3 3 5 6 4 7
## [5725] 1 1 7 7 1 6 7 3 5 1 1 3 5 7 7 4 2 1 7 3 3 3 1 7 6 4 7 5 3 3 7 2 1 6 7 1
## [5761] 3 1 1 5 7 7 5 1 7 1 5 3 1 3 3 1 7 5 3 2 1 1 7 1 7 7 4 2 3 7 7 1 7 6 3 7
## [5797] 5 1 7 5 3 6 2 7 5 6 7 7 1 6 7 5 5 7 3 6 7 1 7 7 3 1 3 7 3 6 5 1 7 1 4 6
## [5833] 3 1 6 6 3 6 7 6 6 6 3 7 5 1 5 6 7 6 5 7 1 6 6 6 3 5 3 5 7 7 7 3 3 7 7 3
## [5869] 7 5 7 3 7 3 3 1 3 7 3 7 6 2 7 7 1 7 5 7 7 5 7 7 7 1 3 1 7 5 7 1 7 3 6 7
## [5905] 6 1 3 6 2 3 7 3 5 5 7 6 2 3 7 3 3 4 6 1 7 3 5 1 6 4 1 1 4 3 6 1 5 3 4 7
## [5941] 7 7 7 7 1 1 7 3 1 6 3 1 1 7 3 3 1 5 5 1 6 7 1 5 3 4 7 5 7 6 6 6 5 7 5 1
## [5977] 1 6 3 1 6 7 7 1 6 4 7 6 6 1 3 1 3 1 6 1 1 6 1 3 1 7 1 6 1 7 1 4 7 6 2 4
## [6013] 1 7 7 6 7 7 5 3 3 3 6 1 7 1 5 7 6 3 4 1 2 6 1 3 5 3 6 5 5 7 7 3 6 5 1 3
## [6049] 7 3 7 3 7 3 3 4 7 6 7 2 1 1 7 7 5 7 5 1 3 3 7 5 2 7 1 5 3 6 7 6 3 3 4 6
## [6085] 4 6 7 7 1 7 3 7 3 7 3 1 7 7 6 5 1 5 1 5 3 1 3 7 6 7 3 7 3 1 3 7 7 5 2 6
## [6121] 4 1 1 5 6 5 7 3 6 2 3 6 5 7 2 5 5 3 7 6 1 5 3 6 5 7 5 1 2 3 7 7 3 3 5 7
## [6157] 3 1 7 3 6 2 7 5 6 3 7 1 5 7 7 2 5 7 7 7 3 2 1 7 6 7 7 5 7 1 7 3 5 6 1 7
## [6193] 7 1 6 3 3 3 3 2 6 6 1 5 7 1 1 7 1 6 5 5 7 5 7 6 5 5 3 3 5 1 7 7 5 3 7 3
## [6229] 3 6 1 5 3 7 1 7 7 1 5 3 1 1 1 5 6 3 7 5 2 2 1 3 6 1 5 3 5 3 1 5 7 7 6 3
## [6265] 7 7 4 1 4 7 1 6 6 5 1 1 7 5 7 6 6 3 1 1 3 7 1 3 6 2 7 5 5 6 5 4 1 3 1 3
## [6301] 7 5 1 3 7 2 1 3 3 1 1 7 1 4 7 6 5 3 7 3 3 1 3 3 1 5 1 6 3 5 4 6 3 3 1 4
## [6337] 5 1 6 5 6 7 1 1 7 3 3 5 1 6 3 3 1 1 1 7 1 1 1 5 6 1 5 1 5 7 1 5 7 3 7 7
## [6373] 3 7 6 7 3 7 7 3 6 7 1 7 7 7 5 7 7 3 1 3 3 3 3 7 7 3 4 5 3 3 7 5 3 6 1 7
## [6409] 7 6 6 3 3 3 7 1 1 7 3 3 5 7 5 6 7 1 3 7 6 7 7 3 7 6 3 6 3 3 5 2 7 3 5 6
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## [40249] 7 6 3 1 3 2 3 7 1 5 5 4 2 1 7 1 1 1 5 6 7 3 1 1 5 7 5 3 7 7 6 6 7 5 4 7
## [40285] 7 5 6 6 6 5 1 6 7 4 7 7 3 5 5 3 6 7 7 5 1 5 1 7 3 6 5 5 6 7 3 3 5 7 1 7
## [40321] 5 1 7 7 5 5 4 7 1 5 7 3 3 1 3 3 7 7 1 6 7 3 7 3 7 6 6 1 7 4 3 3 6 7 3 7
## [40357] 7 7 7 2 6 1 6 3 3 3 7 7 1 6 1 5 7 2 5 6 1 7 1 5 1 6 7 7 1 3 3 3 4 2 6 7
## [40393] 6 7 7 1 4 7 3 1 3 1 7 6 6 6 1 7 1 4 7 3 1 7 6 6 1 6 3 7 5 1 6 3 1 6 2 7
## [40429] 6 1 6 6 5 7 7 5 5 7 7 2 7 1 3 7 6 3 5 7 1 1 5 7 7 3 5 7 3 1 2 7 5 1 7 3
## [40465] 7 3 6 1 1 1 5 7 3 7 2 3 5 1 5 4 6 1 3 1 4 5 6 6 5 5 1 6 7 2 7 1 2 7 5 7
## [40501] 3 7 3 1 7 4 3 6 7 6 1 7 7 3 1 6 5 7 5 1 5 6 5 1 7 1 7 7 3 7 1 1 3 7 7 1
## [40537] 7 2 6 5 1 4 7 6 6 1 3 6 5 1 3 1 4 2 5 7 3 3 3 2 2 3 3 7 7 7 5 5 3 4 1 7
## [40573] 3 3 7 2 4 1 7 7 3 6 3 4 7 3 1 7 4 2 5 7 3 7 7 1 7 7 3 7 3 3 3 1 1 5 7 6
## [40609] 7 6 5 1 7 6 1 7 1 1 7 5 7 7 3 3 6 7 7 3 7 1 6 7 7 7 1 3 1 6 3 3 7 6 6 7
## [40645] 7 3 7 6 7 7 6 1 1 3 4 7 3 1 6 1 3 1 7 3 1 4 7 3 3 6 5 6 6 6 7 6 6 6 7 6
## [40681] 6 7 3 7 3 6 1 7 1 7 5 5 1 3 6 5 5 6 1 5 7 7 6 5 5 1 7 1 1 6 1 6 3 1 3 3
## [40717] 4 1 7 1 7 1 3 6 3 7 1 3 7 3 1 5 3 7 3 7 7 6 7 5 3 2 2 3 6 3 7 3 1 5 6 7
## [40753] 2 7 3 3 5 1 3 3 7 7 4 7 3 7 7 1 2 5 7 7 1 7 2 3 7 7 1 6 7 5 5 6 7 1 1 3
## [40789] 3 7 6 1 7 7 3 7 6 5 3 2 5 1 3 7 7 7 5 5 1 7 1 7 7 6 5 7 1 1 2 7 6 1 3 1
## [40825] 3 5 1 7 1 4 1 3 7 6 6 1 7 3 3 7 2 3 7 2 7 1 7 3 6 5 1 1 5 1 6 6 3 3 3 5
## [40861] 7 6 3 6 4 1 7 2 1 1 5 1 3 3 3 5 5 6 1 1 5 7 6 6 6 4 6 1 6 7 1 3 7 7 7 5
## [40897] 4 6 7 7 2 1 7 1 4 6 5 7 2 7 1 7 3 7 1 3 1 7 4 3 5 5 3 5 7 1 5 7 7 7 1 3
## [40933] 1 1 7 4 1 7 3 1 3 3 6 7 6 7 7 7 7 1 3 3 3 7 3 1 2 6 1 3 6 1 3 6 6 7 4 3
## [40969] 7 1 6 4 7 6 1 5 4 3 6 6 4 1 7 3 5 6 3 4 7 6 6 3 2 3 7 4 6 1 1 7 5 5 7 2
## [41005] 6 1 3 7 3 6 1 3 1 5 1 1 7 2 3 3 1 7 3 2 3 7 7 1 3 2 1 1 1 1 7 5 1 3 1 6
## [41041] 7 1 3 3 3 7 1 1 5 1 4 3 4 5 1 7 7 1 3 3 1 1 3 5 7 2 3 6 4 7 7 6 6 7 5 3
## [41077] 3 3 7 5 1 6 1 1 1 4 6 7 1 1 7 6 6 1 5 1 6 6 3 1 7 1 3 5 1 1 3 7 4 7 7 3
## [41113] 7 1 7 1 1 1 7 7 1 3 7 7 3 7 5 7 3 5 7 4 6 3 4 6 1 3 2 3 6 1 6 7 5 3 3 5
## [41149] 7 3 3 3 7 1 5 7 6 1 7 1 4 6 6 7 5 2 7 1 1 3 1 1 1 5 7 5 1 6 7 5 7 3 7 7
## [41185] 6 7 7 7 7 3 7 1 7 6 1 7 5 4 6 7 7 6 7 6 6 1 7 7 7 1 7 1 2 1 3 1 5 6 5 7
## [41221] 3 6 6 1 6 7 3 6 2 1 2 1 1 4 1 6 5 6 7 1 1 1 7 3 1 3 3 7 7 5 7 7 7 7 2 3
## [41257] 6 3 6 6 3 3 6 6 1 3 1 3 3 7 1 1 3 3 3 7 6 5 6 3 1 3 6 6 1 2 7 7 1 7 6 3
## [41293] 7 3 7 5 7 5 7 1 7 4 7 7 1 7 6 3 7 6 3 5 6 5 7 1 6 1 1 7 1 7 1 7 5 6 7 7
## [41329] 6 1 7 1 6 6 1 1 1 1 6 3 7 3 5 7 7 1 6 6 7 7 4 6 6 3 7 5 3 7 1 1 5 5 6 3
## [41365] 7 2 7 5 5 7 7 7 1 3 6 2 5 7 3 1 6 2 3 3 3 6 7 1 7 1 3 3 4 3 3 7 2 7 3 7
## [41401] 1 5 2 7 1 3 5 7 3 1 7 6 5 1 1 1 4 7 1 2 2 1 1 7 6 5 7 1 4 7 6 4 6 7 1 5
## [41437] 3 5 3 3 6 7 1 3 3 1 7 7 6 3 2 2 1 6 1 3 7 7 2 1 3 7 7 7 6 1 7 3 1 7 1 6
## [41473] 5 7 3 1 1 3 7 2 5 5 7 6 1 5 1 3 7 1 4 6 7 1 7 6 7 5 1 3 5 3 5 3 7 5 5 5
## [41509] 6 6 5 7 1 3 3 1 7 1 5 4 6 7 1 6 5 5 7 6 1 5 7 6 6 6 2 3 7 1 3 6 7 6 3 7
## [41545] 1 4 1 6 6 3 1 1 7 7 7 6 3 7 3 7 1 7 6 7 7 2 7 5 3 7 5 6 7 6 6 3 7 6 3 1
## [41581] 7 3 7 6 3 1 7 5 6 3 3 1 6 7 3 7 3 1 3 1 7 3 7 3 7 5 6 3 1 6 7 7 5 7 7 6
## [41617] 6 1 3 3 7 3 6 7 3 7 3 5 2 5 1 3 5 6 1 6 7 1 2 4 7 1 7 3 4 5 3 2 3 7 7 5
## [41653] 4 5 5 3 6 6 3 5 6 7 7 7 7 7 1 6 3 1 1 3 7 3 3 2 7 7 7 5 7 7 1 6 7 1 1 7
## [41689] 7 6 3 5 4 3 5 7 1 1 7 7 6 2 3 4 7 3 6 6 6 1 1 7 5 1 3 7 1 1 5 6 5 1 7 1
## [41725] 7 7 3 7 7 7 3 5 1 6 2 7 1 6 1 1 1 3 3 1 1 3 1 1 6 1 5 3 3 5 4 1 5 4 3 6
## [41761] 6 3 5 7 6 3 3 5 2 3 6 1 3 7 1 7 7 3 7 7 7 5 1 6 1 1 6 7 6 7 2 2 7 7 3 1
## [41797] 2 1 7 3 7 1 3 6 6 3 5 7 1 3 7 3 3 1 6 1 6 6 3 6 5 7 2 5 1 5 1 7 6 3 5 7
## [41833] 7 3 6 3 5 7 1 2 4 5 7 1 7 6 5 7 6 4 2 6 7 1 3 3 3 7 5 1 7 7 3 2 3 7 1 3
## [41869] 5 6 3 7 3 6 7 3 1 7 4 3 1 7 6 3 3 6 1 6 5 7 1 1 4 6 7 3 1 1 2 5 3 7 1 1
## [41905] 5 5 1 7 4 2 3 1 3 1 3 5 4 6 6 7 7 7 3 7 7 6 1 6 6 1 1 3 3 7 4 6 7 7 1 3
## [41941] 6 7 6 6 4 5 5 6 1 6 3 1 3 3 2 6 3 2 3 1 7 3 1 7 1 7 6 3 6 1 3 3 7 7 5 7
## [41977] 3 2 7 1 6 7 5 7 3 3 5 7 7 5 6 6 1 7 7 7 5 7 1 3 1 5 1 7 7 3 2 1 6 7 5 5
## [42013] 1 3 7 6 3 5 4 7 7 1 3 7 7 5 1 7 7 3 7 3 1 3 3 5 7 7 6 6 5 1 3 7 3 6 4 7
## [42049] 7 7 3 1 7 7 3 6 6 2 7 3 6 5 6 7 1 7 1 6 4 4 1 7 1 7 1 5 3 5 5 6 5 7 7 7
## [42085] 7 4 7 1 3 4 1 1 7 7 1 6 5 7 3 3 7 7 1 1 6 7 7 3 1 1 1 5 5 7 1 7 7 4 1 1
## [42121] 7 7 3 3 3 7 3 3 1 5 6 7 1 5 4 3 1 3 3 2 1 3 3 3 1 5 1 6 7 5 7 1 7 1 6 6
## [42157] 6 3 3 7 3 6 6 6 3 7 5 7 7 7 3 5 1 7 7 7 5 3 7 7 7 6 6 7 6 7 6 5 2 7 3 4
## [42193] 6 6 5 7 3 1 7 1 4 3 2 6 7 5 1 3 3 3 7 3 3 5 6 7 7 5 5 5 7 3 3 7 3 5 5 3
## [42229] 1 6 1 1 7 7 5 7 1 2 3 6 6 1 1 3 7 3 1 7 5 3 2 2 5 1 3 1 3 7 7 7 3 1 7 6
## [42265] 4 5 1 7 1 1 7 6 3 3 1 6 7 1 5 2 1 5 3 3 2 7 3 2 7 3 6 7 3 1 3 1 3 1 7 7
## [42301] 7 1 1 3 1 1 7 1 1 3 7 1 6 1 5 7 2 1 7 7 3 2 1 7 3 3 7 1 6 7 6 6 3 6 7 1
## [42337] 5 6 7 3 1 1 2 3 3 1 7 3 1 6 1 4 3 7 1 2 7 7 6 7 7 5 6 7 6 5 3 7 6 7 1 3
## [42373] 3 7 7 4 7 3 1 1 6 3 3 5 3 7 4 5 5 3 5 5 1 3 1 5 1 7 5 1 6 6 5 3 1 3 7 3
## [42409] 1 7 3 7 3 1 7 3 7 1 7 6 7 2 3 1 4 1 3 3 5 6 7 5 1 7 7 4 3 3 5 1 1 6 7 5
## [42445] 7 1 7 6 6 6 7 3 5 4 6 7 7 5 7 1 3 7 3 3 3 7 3 1 6 5 6 3 6 3 3 1 7 1 6 6
## [42481] 1 1 3 5 6 2 5 1 5 3 1 3 3 3 3 6 3 7 4 6 1 7 1 5 5 5 7 1 6 7 3 6 5 6 1 6
## [42517] 3 1 5 3 6 1 3 1 6 6 5 6 3 7 5 5 7 7 4 5 7 1 6 3 3 1 1 7 6 4 7 5 7 5 4 6
## [42553] 5 7 1 2 7 3 1 5 7 1 6 1 5 3 5 1 6 7 3 2 5 5 5 1 5 5 1 5 5 6 5 6 7 6 4 3
## [42589] 3 1 3 7 2 7 4 4 1 1 3 7 6 6 6 2 3 7 5 1 3 7 6 7 1 1 2 6 1 3 3 5 7 6 6 1
## [42625] 6 1 2 5 7 1 5 7 6 1 6 1 1 7 7 6 1 3 6 1 7 1 2 5 6 6 7 6 7 6 7 6 7 7 4 1
## [42661] 5 4 7 1 7 7 5 5 1 7 1 1 2 5 7 5 1 7 5 7 6 6 6 4 3 7 5 7 7 3 7 1 6 5 1 4
## [42697] 3 7 4 5 7 5 7 7 7 1 7 5 3 7 6 6 7 1 1 7 1 7 7 7 7 7 6 2 1 2 1 7 3 6 7 5
## [42733] 5 5 7 6 1 4 3 1 1 1 7 6 6 1 2 7 6 5 7 7 4 7 3 7 3 4 7 4 5 3 1 3 1 3 7 7
## [42769] 6 7 5 2 1 3 6 7 6 5 4 1 1 1 3 5 3 6 7 3 1 4 4 7 7 7 2 6 6 7 1 7 6 6 1 4
## [42805] 3 5 7 1 7 6 5 7 7 1 2 5 6 3 1 6 1 6 7 6 6 7 5 1 7 4 1 7 3 3 1 1 6 2 1 5
## [42841] 6 4 6 5 7 3 1 7 5 3 6 3 5 6 1 1 1 7 1 5 7 7 3 3 5 3 1 1 3 7 6 4 1 5 6 6
## [42877] 6 7 1 5 1 1 1 7 6 7 1 7 3 1 7 1 7 1 6 3 6 6 1 6 7 3 3 5 3 5 6 7 6 1 3 5
## [42913] 3 1 1 1 1 6 1 7 6 3 1 7 1 2 5 5 5 1 1 6 3 1 7 5 6 1 6 3 7 1 3 5 1 5 3 5
## [42949] 3 6 7 3 7 7 5 7 7 1 6 7 3 6 6 6 3 3 5 6 7 3 2 4 1 2 6 7 1 1 1 7 3 5 1 5
## [42985] 6 4 7 1 1 3 3 1 3 1 7 3 1 5 7 6 1 7 3 1 1 6 1 6 6 4 7 7 4 5 3 2 3 5 7 1
## [43021] 7 1 7 1 7 4 5 1 5 1 7 3 7 1 6 1 1 7 7 1 6 1 3 7 6 1 7 3 1 5 1 3 4 7 3 7
## [43057] 7 6 7 7 7 5 5 1 6 6 6 6 1 1 5 3 3 3 1 1 1 1 6 7 6 1 6 5 3 1 6 1 1 7 3 6
## [43093] 1 4 7 6 6 1 1 7 6 5 1 5 3 7 7 5 3 3 7 7 3 6 3 7 7 5 2 7 3 1 5 7 5 5 7 6
## [43129] 2 7 7 1 1 7 3 7 5 7 3 4 3 3 3 3 5 3 3 3 1 3 3 1 7 1 6 4 1 5 7 3 7 5 4 1
## [43165] 3 2 7 1 3 7 1 3 3 3 3 7 6 6 7 1 6 3 7 5 4 6 7 7 2 7 7 7 7 1 3 5 7 3 3 2
## [43201] 5 7 5 7 7 3 3 7 3 7 7 5 6 1 3 5 1 3 3 7 6 1 7 3 5 2 7 6 3 7 7 7 7 7 7 7
## [43237] 4 4 5 4 1 7 1 1 7 7 7 6 1 3 3 7 1 6 7 5 1 7 3 6 1 6 6 6 5 7 7 5 1 5 2 7
## [43273] 1 5 7 3 3 3 3 1 7 1 7 3 3 3 7 5 7 2 1 3 7 6 3 5 7 7 7 6 5 7 7 1 7 7 6 5
## [43309] 3 1 7 7 2 6 6 5 7 5 3 5 3 1 3 1 6 7 1 2 3 3 2 7 3 7 2 7 3 1 7 2 1 3 1 6
## [43345] 3 1 6 4 1 6 7 3 1 4 7 6 7 4 5 1 5 7 3 6 6 7 3 5 3 7 7 3 3 6 7 1 3 5 5 7
## [43381] 7 5 1 7 6 5 7 6 7 5 3 6 3 6 5 3 1 6 1 7 5 3 1 1 6 3 7 1 3 7 4 2 5 7 5 1
## [43417] 5 7 7 1 4 5 3 1 7 1 3 7 5 6 7 7 1 6 6 1 3 1 1 7 6 1 5 3 4 1 5 6 7 1 7 7
## [43453] 6 3 3 3 5 7 6 5 6 7 1 4 6 5 7 7 5 6 5 6 7 7 5 3 1 6 6 7 7 6 3 6 5 6 3 6
## [43489] 7 5 3 3 1 5 4 7 6 7 1 1 1 6 6 3 1 7 7 3 3 5 7 1 7 3 3 1 3 3 1 5 1 6 3 5
## [43525] 1 3 3 2 6 7 3 7 5 7 4 7 1 3 7 4 6 7 6 5 4 7 3 1 1 7 1 4 6 3 7 7 7 5 1 3
## [43561] 6 7 3 5 7 1 4 1 7 5 6 2 1 1 1 3 7 1 7 1 3 4 7 3 1 6 6 3 3 3 6 1 3 7 5 1
## [43597] 1 5 1 7 7 7 2 3 3 7 1 1 3 1 1 5 5 5 3 5 1 3 6 5 5 3 3 5 3 4 5 4 3 7 5 5
## [43633] 5 6 7 2 1 4 1 1 6 7 3 5 3 7 6 7 7 7 2 2 6 1 7 3 6 1 6 6 3 1 5 6 6 5 1 7
## [43669] 3 3 3 3 5 3 7 3 7 1 5 7 7 4 7 3 6 1 1 3 3 3 1 3 5 5 5 5 3 1 7 1 1 1 7 1
## [43705] 4 6 3 3 1 7 6 7 2 7 7 2 5 7 3 7 1 7 6 5 3 7 4 5 7 1 7 7 1 1 3 6 1 7 1 1
## [43741] 6 7 3 6 5 1 6 1 1 7 7 3 1 7 1 7 3 7 7 7 6 1 6 1 6 1 7 6 6 5 7 7 5 4 1 3
## [43777] 5 1 3 2 6 1 4 6 5 7 4 5 7 1 3 7 7 7 7 4 6 3 3 6 7 5 7 6 6 3 3 7 3 1 3 7
## [43813] 7 7 3 6 3 7 5 7 5 7 1 1 1 3 7 6 2 3 6 6 5 3 5 1 5 5 6 1 5 1 3 7 4 3 3 6
## [43849] 5 6 3 3 5 5 7 1 6 6 6 3 3 6 2 6 4 6 7 7 1 2 7 3 7 6 6 6 7 3 7 7 2 1 7 7
## [43885] 5 7 1 4 3 3 4 7 3 1 7 3 6 3 4 1 7 7 1 1 6 3 1 3 1 5 4 5 1 6 3 2 6 3 6 7
## [43921] 5 5 6 6 5 7 5 3 1 7 3 5 1 7 7 6 6 7 7 4 7 7 4 5 7 7 5 3 5 3 3 1 3 5 3 7
## [43957] 3 3 6 5 3 6 6 3 5 7 7 3 5 7 6 5 7 7 1 6 7 6 6 6 3 3 7 6 3 1 1 6 7 7 7 7
## [43993] 1 5 5 3 7 7 7 5 7 7 6 7 3 3 1 1 1 7 7 2 6 7 6 3 1 7 4 5 7 6 5 7 7 2 1 5
## [44029] 3 3 5 3 3 6 1 5 1 7 7 6 7 7 3 7 6 7 7 1 5 3 6 7 6 5 4 4 3 7 1 4 3 1 3 1
## [44065] 3 7 6 3 7 1 5 1 5 3 6 7 1 1 5 1 1 1 5 7 7 3 5 1 4 6 7 5 3 6 4 6 1 4 7 5
## [44101] 3 7 1 6 3 3 3 7 5 7 3 5 3 6 7 7 6 5 6 7 4 3 5 7 6 3 7 7 2 6 1 7 3 5 2 1
## [44137] 3 7 6 3 1 7 1 3 4 6 7 7 3 1 7 1 7 6 3 6 4 5 3 7 6 6 5 1 7 3 7 1 3 1 7 1
## [44173] 6 6 1 6 1 3 4 6 7 1 2 3 7 7 3 6 6 1 7 1 3 1 3 4 7 7 7 1 7 6 7 6 4 4 7 4
## [44209] 6 6 2 1 3 1 7 7 7 7 1 2 4 7 1 2 3 6 7 7 2 4 3 1 7 6 7 3 1 5 4 3 7 4 1 6
## [44245] 5 3 1 5 6 7 7 3 1 1 7 7 3 7 1 6 5 2 6 6 1 5 5 7 6 5 2 6 7 1 4 7 6 1 3 7
## [44281] 1 7 4 3 7 7 7 1 6 1 1 7 6 1 5 7 3 7 3 2 6 1 1 6 1 6 5 7 1 6 3 7 1 6 3 1
## [44317] 5 1 1 1 7 1 1 5 6 1 5 7 5 3 1 1 1 4 5 7 1 6 7 3 6 5 1 4 5 3 3 3 7 3 5 4
## [44353] 6 7 6 7 7 6 6 2 3 7 7 7 7 5 5 1 5 3 6 7 7 6 7 3 4 1 7 3 7 6 2 6 7 1 7 3
## [44389] 5 5 7 5 6 6 5 7 1 3 7 1 1 3 1 5 7 6 4 2 6 6 1 3 7 1 3 7 7 7 1 6 7 1 3 6
## [44425] 1 6 3 1 7 7 3 7 7 1 7 7 7 7 7 3 1 7 4 6 1 3 3 3 3 1 1 7 1 1 1 4 6 3 6 7
## [44461] 6 6 7 5 5 5 3 7 6 6 6 5 5 7 5 7 1 6 4 5 3 1 1 3 3 6 2 7 6 1 3 5 1 1 3 4
## [44497] 2 1 1 5 1 7 5 3 7 5 3 7 1 6 4 6 6 6 7 2 6 2 6 6 7 3 3 1 6 1 6 3 4 6 3 6
## [44533] 6 3 5 6 7 1 4 3 7 6 7 6 3 6 7 7 4 1 5 3 2 3 7 1 7 6 5 7 5 3 7 3 1 5 1 3
## [44569] 1 7 5 7 7 3 1 7 6 1 2 3 3 5 6 7 6 2 1 1 7 6 7 3 5 4 5 1 6 4 7 3 7 5 7 1
## [44605] 5 7 7 3 1 6 7 3 5 7 6 3 3 4 6 7 5 7 5 3 3 3 3 2 1 4 1 5 4 6 3 7 7 7 1 5
## [44641] 3 1 7 1 6 3 6 7 7 1 5 2 7 6 1 1 6 6 7 7 4 1 5 1 4 3 1 6 3 3 7 1 1 6 3 7
## [44677] 1 6 5 6 1 6 3 3 7 7 7 1 3 6 7 2 5 6 3 7 3 6 5 7 3 7 7 7 1 3 6 7 6 3 7 7
## [44713] 1 6 7 7 6 7 5 5 5 1 5 1 7 1 3 7 7 3 5 6 6 1 2 4 7 7 2 3 6 6 6 3 1 5 2 1
## [44749] 6 3 3 6 7 1 6 7 5 3 1 6 1 7 7 6 5 4 7 5 7 3 7 5 1 4 7 7 5 6 5 7 3 7 7 3
## [44785] 7 5 6 7 5 3 3 7 1 3 5 5 7 5 3 1 3 6 3 7 6 7 6 4 7 7 1 7 3 3 3 5 3 7 5 1
## [44821] 1 7 6 6 3 7 1 5 5 5 3 6 1 1 1 3 4 7 3 5 6 1 6 1 3 2 7 3 6 6 3 5 1 7 6 6
## [44857] 5 1 5 5 1 3 3 4 6 5 5 7 7 5 7 1 6 7 6 3 6 5 1 5 5 7 5 3 1 7 7 4 6 7 6 3
## [44893] 6 5 1 3 3 3 6 1 1 2 3 7 1 7 3 1 7 6 1 2 7 1 1 6 1 6 7 1 7 3 7 3 6 1 7 5
## [44929] 3 3 1 3 7 5 5 6 6 7 4 3 1 5 7 6 1 7 3 4 2 7 6 6 6 7 1 7 6 7 3 7 3 1 1 3
## [44965] 1 6 3 7 5 5 1 6 3 3 1 7 1 6 7 1 4 1 6 6 7 7 3 7 2 7 7 5 2 3 7 3 7 1 2 6
## [45001] 1 7 3 1 6 5 3 6 7 1 2 6 2 1 5 1 7 5 5 7 5 3 7 4 6 1 7 3 7 3 1 6 3 1 7 2
## [45037] 7 5 7 7 7 6 1 7 3 3 5 6 7 5 1 7 1 7 2 3 5 7 1 5 7 7 4 1 1 7 7 3 3 5 3 3
## [45073] 1 1 3 6 6 1 7 2 1 7 1 3 5 7 1 3 3 1 7 7 1 5 6 5 4 1 1 6 2 1 4 5 7 1 2 6
## [45109] 1 7 6 3 6 5 3 7 3 1 7 1 1 3 7 7 1 7 7 1 6 3 6 6 6 1 5 7 7 6 1 6 7 3 5 3
## [45145] 6 5 7 3 7 3 4 6 1 7 1 5 4 1 7 3 7 1 1 3 3 1 7 3 3 7 6 7 5 3 7 6 2 1 1 3
## [45181] 4 7 7 1 7 7 7 1 7 7 3 1 7 3 4 1 6 6 1 3 5 3 5 1 5 1 4 5 2 5 1 7 7 7 5 6
## [45217] 3 4 7 1 3 4
##
## Within cluster sum of squares by cluster:
## [1] 891850.9 458095.2 762949.4 219191.0 512456.9 609274.8 851664.8
## (between_SS / total_SS = 14.7 %)
##
## Available components:
##
## [1] "cluster" "centers" "totss" "withinss" "tot.withinss"
## [6] "betweenss" "size" "iter" "ifault"# Adding cluster to the data set
results_cluster <- augment(final_kmeans, income_features)
results_cluster %>% group_by(.cluster) %>% count()## # A tibble: 7 × 2
## # Groups: .cluster [7]
## .cluster n
## <fct> <int>
## 1 1 9215
## 2 2 1477
## 3 3 8481
## 4 4 2048
## 5 5 5784
## 6 6 6832
## 7 7 11385From the output, we see that three clusters have been found. For each cluster, the squared distances between the observations to the centroids are calculated. So, each observation will be assigned to one of the five clusters.
Bivariate chart(s) against meaningful variables and/or analysis of density plots
Now, I will visualize the scatter plot between husbands and fnlwgt and color the points based on the cluster id:
clust_spc_plot <- results_cluster %>%
ggplot(mapping = aes(x = low_ed_male_laborer, y = husbands)) +
geom_point(aes(shape = .cluster, color= .cluster),size = 2,alpha=0.3)+
scale_color_manual(values = c("darkslateblue","goldenrod","deeppink", "green", "red", "yellow", "skyblue"))+ theme_minimal()
clust_spc_plot## Warning: The shape palette can deal with a maximum of 6 discrete values because
## more than 6 becomes difficult to discriminate; you have 7. Consider
## specifying shapes manually if you must have them.## Warning: Removed 11385 rows containing missing values (`geom_point()`).
clust_spc_plot2 <- results_cluster %>%
ggplot(mapping = aes(x = age, y = education_num)) +
geom_point(aes(shape = .cluster, color= .cluster),size = 2,alpha=0.3)+
scale_color_manual(values = c("darkslateblue","goldenrod","deeppink", "green", "red", "yellow", "skyblue"))+ theme_minimal()
clust_spc_plot2## Warning: The shape palette can deal with a maximum of 6 discrete values because
## more than 6 becomes difficult to discriminate; you have 7. Consider
## specifying shapes manually if you must have them.## Warning: Removed 11385 rows containing missing values (`geom_point()`).
clust_spc_plot3 <- results_cluster %>%
ggplot(mapping = aes(x = education_num, y = fnlwgt)) +
geom_point(aes(shape = .cluster, color= .cluster),size = 2,alpha=0.3)+
scale_color_manual(values = c("darkslateblue","goldenrod","deeppink", "green", "red", "yellow", "skyblue"))+ theme_minimal()
clust_spc_plot3## Warning: The shape palette can deal with a maximum of 6 discrete values because
## more than 6 becomes difficult to discriminate; you have 7. Consider
## specifying shapes manually if you must have them.## Warning: Removed 11385 rows containing missing values (`geom_point()`).
Looking at clusters in terms of PC1 and PC2, we see good distinct among the clusters.
results_cluster %>%
pivot_longer(c(husbands, low_ed_male_laborer),names_to = "feature") %>%
ggplot(aes(value, fill=.cluster))+
geom_density(alpha=0.3)+
facet_wrap(~feature)
level of education, hours per week worked
results_cluster %>%
pivot_longer(c(age, hours_per_week),names_to = "feature") %>%
ggplot(aes(value, fill=.cluster))+
geom_density(alpha=0.3)+
facet_wrap(~feature)
Meaningful interpretation / discussion of conclusions
We think that k-means is not suitable for this dataset. Some of these plots do not show clear definition of clusters and the plot clust_spc_plot shows non-spherical shape, the algorithm suggests that each point is close to each other (A to B and B to C, and so on). Analyzing the ratio between_SS / total_SS, we see that the differences between clusters explain 14.7% of the total variation in the dataset.
A negative value of between_SS is mathematically possible, but it can occur only in certain circumstances. Specifically, negative values of between_SS can occur when the clusters are too small and the variance within the clusters is greater than the variance between the clusters. In such cases, the total sum of squares can be smaller than the sum of squares due to the between-cluster differences, resulting in a negative value for between_SS.
However, negative values of between_SS are generally uncommon and may indicate issues with the cluster analysis, such as inappropriate choice of clustering algorithm or incorrect data preprocessing. It’s important to investigate the reasons behind the negative value and to ensure that the results of the analysis are valid and reliable.
We suggest using an algorithm that handle non-spherical shaped data as well as other forms, such as Gaussian Mixtures Models [https://jakevdp.github.io/PythonDataScienceHandbook/05.12-gaussian-mixtures.html]
Nevertheless, we will add our cluster column to our dataset to see if it helps our predictive modeling.
# adding PC1 and PC2 to ds
income = bind_cols(prc %>% select(2:3), income) %>% relocate(income_above_50k)
# adding clusters
income = bind_cols(income, results_cluster[107])
income = income %>% rename("cluster" = .cluster)PART III SUPERVISED LEARNING
Logistic Regression Model to examine log-odds of each feature
# income = income %>% mutate(income_above_50k = factor(ifelse(income_above_50k == 'TRUE','yes','no'), levels = c('yes','no')))
#
# income_index <- createDataPartition(income$income_above_50k, p = 0.80, list = FALSE)
# train <- income[income_index, ]
# test <- income[-income_index, ]
#
# control <- trainControl(method = "cv", number = 5)
#
# # fit.lr <- train(income_above_50k ~ .,
# data = train,
# trControl = control,
# # method = "glm",
# family = "binomial")
#
#
# odds_ratio = exp(coef(fit.lr$finalModel))
# data.frame(name = names(odds_ratio), odds_ratio = odds_ratio) %>%
# arrange(desc(odds_ratio))
#
# view(odds_ratio)
#
# confusionMatrix(predict(fit.lr, test),factor(test$income_above_50k))
#
# myRoc <- roc(test$income_above_50k, predict(fit.lr, test, type="prob")[,2])
#
# plot(myRoc, main = 'AUC = .89')
# auc(myRoc)PC1, education, and marital status are meaningful variables in predicting income level.
Feature Engineering
age_dummies = income %>% mutate(age_bin = case_when(
age < 20 ~ "teen",
age >=20 & age <30 ~ "20-29",
age >=30 & age <40 ~ "30-39",
age >=40 & age <50 ~ "40-50",
age >=50 & age <66 ~ "50-65",
age >=65 ~ "65+")) %>% select(age_bin) %>% dummy_cols(remove_selected_columns = T)
#people who work over 40 hours a week will get overtime pay if an hourly worker.
income = bind_cols(income, age_dummies) %>% mutate(overtime = as.numeric(ifelse(hours_per_week > 40, 1, 0)))Gradient Boosted Model
# #resplitting after addition of new features:
# income_index <- createDataPartition(income$income_above_50k, p = 0.80, list = FALSE)
# train <- income[income_index, ]
# test <- income[-income_index, ]
#
# #checking for variables with 0 variance
# #vzv_vals = nearZeroVar(income, saveMetrics = TRUE)
#
#
# ctrl <- trainControl(method = "cv", number = 3, classProbs=TRUE, summaryFunction = twoClassSummary)
#fit.gbm <- train(income_above_50k ~ .,
#data = train,
#method = "gbm",
#tuneLength = 4,
#preProcess = c("center","scale"),
#metric = "ROC",
#trControl = ctrl)
#confusionMatrix(predict(fit.gbm, test),factor(test$churn))
#myRoc <- roc(test$income_above_50k, predict(fit.gbm, test, type="prob")[,2])
#plot(myRoc)
#auc(myRoc)The results from the training above tells that we could further tune parameters for performance:
# grid.gbm = expand.grid(interaction.depth = seq(4,8,1),
# n.trees = seq(200,400,50),
# shrinkage = 0.1,
# n.minobsinnode = 10)
#
# fit.gbm.2 <- train(income_above_50k ~ .,
# data = train,
# method = "gbm",
# tuneGrid = grid.gbm,
# preProcess = c("center","scale"),
# metric = "ROC",
# trControl = ctrl)
#
# confusionMatrix(predict(fit.gbm.2, test),factor(test$income_above_50k))
# #kappa - .60
#
#
# myRoc <- roc(test$income_above_50k, predict(fit.gbm.2, test, type="prob")[,2])
#
# plot(myRoc, main = "AUC = .92")
# auc(myRoc)
#
# #AUC = .92
#
# print(fit.gbm.2$bestTune)Downsampling training data to remove imbalance of income_above_50k:
# income_index <- createDataPartition(income$income_above_50k, p = 0.80, list = FALSE)
# train <- income[income_index, ]
# test <- income[-income_index, ]
#
# traindown = downSample(x = train[,-1], y= train$income_above_50k) %>% mutate(income_above_50k = Class) %>% select(-Class)
#
# traindown %>% group_by(income_above_50k) %>% count()
#
# fit.gbm.3 <- train(income_above_50k ~ .,
# data = traindown,
# method = "gbm",
# tuneGrid = fit.gbm.2$bestTune,
# preProcess = c("center","scale"),
# metric = "ROC",
# trControl = ctrl)
#
# #checking performance of downsampled training on test data
# confusionMatrix(predict(fit.gbm.3, test),factor(test$income_above_50k))
#
# myRoc <- roc(test$income_above_50k, predict(fit.gbm.3, test, type="prob")[,2])
#
# plot(myRoc)
# auc(myRoc)
# #AUV = 0.917Conclusion: the difference between the two training sets is negligible.
Given the relative success of a gradient boosted, let’s try XG Boost:
# grid.xgb=expand.grid(nrounds=50, #number of trees in final model
# eta=c(.1,.3,.7), # our shrinkage parameter
# max_depth=seq(4,8,1),
# gamma = 0,
# min_child_weight = 1,
# subsample = 1,
# colsample_bytree = 1)
#
# fit.xgb <- train(income_above_50k ~ .,
# data = train,
# method = "xgbTree",
# tuneGrid = grid.xgb,
# verbose=FALSE,
# trControl = ctrl)
#
# confusionMatrix(predict(fit.xgb, test),factor(test$income_above_50k))
#
# myRoc <- roc(test$income_above_50k, predict(fit.xgb, test, type="prob")[,2])
#
# plot(myRoc)
# auc(myRoc) #0.926
#
# fit.xgb$bestTuneUpsampling training data to equalizes classes:
Note that we are not touching the test data!
# set.seed(1001)
# income_index <- createDataPartition(income$income_above_50k, p = 0.80, list = FALSE)
# train <- income[income_index, ]
# test <- income[-income_index, ]
#
# train_up = upSample(x = train[,-1], y= train$income_above_50k) %>% mutate(income_above_50k = Class) %>% select(-Class)
#
# fit.xgb.tu.2 <- train(income_above_50k ~ .,
# data = train_up,
# method = "xgbTree",
# tuneGrid = fit.xgb$bestTune,
# preProcess = c("center","scale"),
# metric = "ROC",
# verbose=FALSE,
# trControl = ctrl)
#
# confusionMatrix(predict(fit.xgb.tu.2, test),factor(test$income_above_50k))
#
# myRoc <- roc(test$income_above_50k, predict(fit.xgb.tu.2, test, type="prob")[,2])
#
# plot(myRoc)
# auc(myRoc)Choice of Metric:
We chose ROC/AUC as our metric to determine model performance because this is a binary classification problem. Given that there are 3x more negative (<50K) observations, our priority was improving the true positive (sensitivity) rate of our model. We can most easily interpret our TP rate in terms of the ROC/AUC metric. The ROC curve is helpful in showing us our TP vs FP at many different cut offs (decision threshold) for classification.
Conlusion:
Applying PCA helped us find a signal in an otherise noisy dataset. K-means unsupervised learning did not meaningfully assist us to make predictions. We were able to improve the amount of true positives in validating our model as a result of training on an a balanced training dataset.